10.1016/s0031-3203(01)00178-9
Crossref journal-article
Elsevier BV
Pattern Recognition (78)
Bibliography

Egmont-Petersen, M., de Ridder, D., & Handels, H. (2002). Image processing with neural networks—a review. Pattern Recognition, 35(10), 2279–2301.

Authors 3
  1. M. Egmont-Petersen (first)
  2. D. de Ridder (additional)
  3. H. Handels (additional)
References 254 Referenced 823
  1. J. Cornfield, Statistical classification methods, Proceedings of the Second Conference on the Diagnostic Process, Computer Diagnosis and Diagnostic Methods, Chicago, 1972, pp. 108–130.
  2. {'key': '10.1016/S0031-3203(01)00178-9_BIB2', 'series-title': 'Pattern Recognition: A Statistical Approach', 'author': 'Devijver', 'year': '1982'} / Pattern Recognition: A Statistical Approach by Devijver (1982)
  3. {'key': '10.1016/S0031-3203(01)00178-9_BIB3', 'series-title': 'Introduction to Statistical Pattern Recognition', 'author': 'Fukunaga', 'year': '1990'} / Introduction to Statistical Pattern Recognition by Fukunaga (1990)
  4. {'key': '10.1016/S0031-3203(01)00178-9_BIB4', 'series-title': 'Parallel Distributed Processing: Explorations in the microstructure of Cognition, Vol. I', 'first-page': '319', 'article-title': 'Learning internal representations by error propagation', 'author': 'Rumelhart', 'year': '1986'} / Parallel Distributed Processing: Explorations in the microstructure of Cognition, Vol. I / Learning internal representations by error propagation by Rumelhart (1986)
  5. 10.1016/0031-3203(93)90135-J / Pattern Recognition / A review on image segmentation techniques by Pal (1993)
  6. {'key': '10.1016/S0031-3203(01)00178-9_BIB6', 'series-title': 'Cardiac Arrhythmias, Pacing & Electrophysiology', 'first-page': '205', 'article-title': 'Artificial neural networks in cardiology; a review', 'author': 'Dassen', 'year': '1998'} / Cardiac Arrhythmias, Pacing & Electrophysiology / Artificial neural networks in cardiology; a review by Dassen (1998)
  7. {'key': '10.1016/S0031-3203(01)00178-9_BIB7', 'series-title': 'Neural Networks for Pattern Recognition', 'author': 'Bishop', 'year': '1995'} / Neural Networks for Pattern Recognition by Bishop (1995)
  8. 10.1109/42.363109 / IEEE Trans. Med. Imaging / A neural network image reconstruction technique for electrical impedance tomography by Adler (1994)
  9. 10.1016/0262-8856(93)90005-2 / Image Vision Comput. / Image reconstruction by a Hopfield neural network by Srinivasan (1993)
  10. 10.1046/j.1365-2818.1998.00343.x / J. Microsc. / Reconstruction of off-axis electron holograms using a neural net by Meyer (1998)
  11. 10.1109/72.623202 / IEEE Trans. Neural Networks / Vector-entropy optimization-based neural-network approach to image reconstruction from projections by Wang (1997)
  12. 10.1049/el:19930231 / IEE Electron. Lett. / Generalised adaptive neural filters by Ansari (1993)
  13. 10.1016/0262-8856(92)90005-N / Image Vision Comput. / Image restoration preserving discontinuities: the Bayesian approach and neural networks by Bedini (1992)
  14. 10.1109/31.7600 / IEEE Trans. Circuits Systems / Cellular networks: theory by Chua (1988)
  15. 10.1109/31.7601 / IEEE Trans. Circuits Systems / Cellular networks: applications by Chua (1988)
  16. 10.1007/s100440050022 / Pattern Anal. Appl. / The applicability of neural networks to non-linear image processing by de Ridder (1999)
  17. 10.1109/83.336248 / IEEE Trans. Image Process. / Sequential and parallel image restoration: neural network implementations by Figueiredo (1994)
  18. D. Greenhil, E.R. Davies, Relative effectiveness of neural networks for image noise suppression, Proceedings of the Pattern Recognition in Practice IV, Vlieland, 1994, pp. 367–378. (10.1016/B978-0-444-81892-8.50037-7)
  19. 10.1109/72.554202 / IEEE Trans. Neural Networks / A network of networks processing model for image regularization by Guan (1997)
  20. 10.1109/83.495954 / IEEE Trans. Image Process. / Speeding up the generalized adaptive neural filters by Hanek (1996)
  21. 10.1109/72.536306 / IEEE Trans. Neural Networks / Color image processing in a cellular neural-network environment by Lee (1996)
  22. 10.1109/72.143370 / IEEE Trans. Neural Networks / Spatial versus temporal stability issues in image processing neuro chips by Matsumoto (1992)
  23. {'issue': '3', 'key': '10.1016/S0031-3203(01)00178-9_BIB23', 'article-title': 'Special issue on Cellular Neural Networks', 'volume': '40', 'author': 'Nossek', 'year': '1993', 'journal-title': 'IEEE Trans. Circuits Systems'} / IEEE Trans. Circuits Systems / Special issue on Cellular Neural Networks by Nossek (1993)
  24. 10.1109/83.128030 / IEEE Trans. Image Process. / Image restoration using a modified Hopfield network by Paik (1992)
  25. 10.1109/72.508928 / IEEE Trans. on Neural Networks / Image recovery and segmentation using competitive learning in a layered network by Phoha (1996)
  26. 10.1109/42.222667 / IEEE Trans. Med. Imaging / Order statistic-neural network hybrid filters for gamma-camera-bremsstrahlung image restoration by Qian (1993)
  27. 10.1016/S0031-3203(99)00009-6 / Pattern Recognition / Hybrid neuro-fuzzy filter for impulse noise removal by Russo (1999)
  28. {'key': '10.1016/S0031-3203(01)00178-9_BIB28', 'series-title': 'Soft computing for image processing', 'first-page': '23', 'article-title': 'Image filtering using evolutionary neural fuzzy systems', 'author': 'Russo', 'year': '2000'} / Soft computing for image processing / Image filtering using evolutionary neural fuzzy systems by Russo (2000)
  29. 10.1109/83.382504 / IEEE Trans. Image Process. / Improvement on performance of modified Hopfield neural network for image restoration by Sun (1995)
  30. 10.1016/S0893-6080(96)00128-1 / Neural Networks / Genetically trained cellular neural networks by Zamparelli (1997)
  31. 10.1109/72.508929 / IEEE Trans. Neural Networks / Structure and properties of generalized adaptive neural filters for signal enhancement by Zhang (1996)
  32. 10.1016/0031-3203(95)00038-0 / Pattern Recognition / Range image segmentation by dynamic neural network architecture by Chandrasekaran (1996)
  33. 10.1364/JOSAA.14.002570 / J. Opt. Soc. Am. A-Optics Image Sci. / Neural dynamics of motion grouping—from aperture ambiguity to object speed and direction [review] by Chey (1997)
  34. 10.1109/72.392259 / IEEE Trans. Neural Networks / A multistage neural network for color constancy and color induction by Courtney (1995)
  35. 10.1016/0031-3203(93)90201-7 / Pattern Recognition / Hierarchical artificial neural networks for edge enhancement by Lu (1993)
  36. 10.1016/0031-3203(94)00163-G / Pattern Recognition / A general purpose model for image operations based on multilayer perceptrons by Moh (1995)
  37. {'issue': '2', 'key': '10.1016/S0031-3203(01)00178-9_BIB37', 'first-page': '111', 'article-title': 'Neural computing for noise filtering, edge detection and signature extraction', 'volume': '2', 'author': 'Pham', 'year': '1992', 'journal-title': 'J. Systems Eng.'} / J. Systems Eng. / Neural computing for noise filtering, edge detection and signature extraction by Pham (1992)
  38. {'key': '10.1016/S0031-3203(01)00178-9_BIB38', 'series-title': 'Brain-like computing and intelligent information systems', 'first-page': '49', 'article-title': 'The properties and training of a neural network based universal window filter developed for image processing tasks', 'author': 'Pugmire', 'year': '1998'} / Brain-like computing and intelligent information systems / The properties and training of a neural network based universal window filter developed for image processing tasks by Pugmire (1998)
  39. 10.1016/0031-3203(92)90051-J / Pattern Recognition / A new ART-based neural architecture for pattern classification and image enhancement without prior knowledge by Shih (1992)
  40. 10.1016/0031-3203(94)90084-1 / Pattern Recognition / Edge detection using a neural network by Srinivasan (1994)
  41. 10.1016/0031-3203(93)90007-J / Pattern Recognition / Endocardial boundary detection using a neural network by Tsai (1993)
  42. 10.1016/0893-6080(95)00080-1 / Neural Networks / Neural processing of targets in visible multispectral IR and SAR imagery by Waxman (1995)
  43. 10.1109/72.668891 / IEEE Trans. Neural Networks / Image compression by self-organized Kohonen map by Amerijckx (1998)
  44. 10.1109/72.701175 / IEEE Trans. Neural Networks / Noise suppressing sensor encoding and neural signal orthonormalization by Brause (1998)
  45. 10.1109/5.364461 / Proc. IEEE / Neural network approaches to image compression by Dony (1995)
  46. 10.1109/72.129423 / IEEE Trans. Neural Networks / A VLSI neural processor for image data compression using self-organization networks by Fang (1992)
  47. 10.1016/0303-2647(96)01634-6 / Biosystems / A self organizing map approach to image quality by Hauske (1997)
  48. 10.1016/0167-8655(95)00133-6 / Pattern Recognition Lett. / A computer vision approach to air flow analysis by Heikkonen (1996)
  49. 10.1109/34.61712 / IEEE Trans. Pattern Anal. Mach. Intell. / Neural network techniques for object orientation detection: solution by optimal feedforward network and learning vector quantization approaches by Morris (1990)
  50. 10.1109/83.624963 / IEEE Trans. Image Process. / Nonlinear vector prediction using feed-forward neural networks by Rizvi (1997)
  51. 10.1007/BF00420282 / Neural Process. Lett. / Robust image association by recurrent neural subnetworks by Skarbek (1996)
  52. 10.1109/29.1644 / IEEE Trans. Acoustics, Speech Signal Process. / Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression by Daugman (1988)
  53. 10.1109/83.465101 / IEEE Trans. Image Process. / Optimally adaptive transform coding by Dony (1995)
  54. 10.1109/83.704304 / IEEE Trans. Image Process. / Neural network-based systems for handprint OCR applications by Garris (1998)
  55. 10.1117/1.482681 / J. Electron. Imaging / High fidelity adaptive vector quantization at very low bit rates for progressive transmission of radiographic images by Mitra (1999)
  56. 10.1109/83.704312 / IEEE Trans. Image Process. / Use of nonlinear principal component analysis and vector quantization for image coding by Tzovaras (1998)
  57. 10.1109/83.704311 / IEEE Trans. Image Process. / A modular neural network vector predictor for predictive image coding by Wang (1998)
  58. 10.1109/72.623222 / IEEE Trans. Neural Networks / Adaptive combination of PCA and VQ networks by Weingessel (1997)
  59. 10.1109/TIT.1978.1055877 / IEEE Trans. Information Theory / On the monotonicity of the performance of a Bayesian classifier by Waller (1978)
  60. 10.1016/S1874-5946(98)80025-4 / Neural Network Systems, Techniques and Applications, Vol. 5, Image Processing and Pattern Recognition / Pattern recognition by Lampinen (1998)
  61. 10.1007/BF00275687 / J. Math. Biol. / A simplified neuron model as a principal component analyzer by Oja (1982)
  62. 10.1142/S0129065789000475 / Int. J. Neural Systems / Neural networks, principal components, and subspaces by Oja (1989)
  63. 10.1016/0893-6080(89)90014-2 / Neural Networks / Neural networks and principal component analysis: learning from examples without local minima by Baldi (1989)
  64. {'issue': '2', 'key': '10.1016/S0031-3203(01)00178-9_BIB64', 'first-page': '223', 'article-title': 'Nonlinear principal component analysis using autoassociative neural networks', 'volume': '37', 'author': 'Kramer', 'year': '1991', 'journal-title': 'Am. Ins. Chem. Eng. J.'} / Am. Ins. Chem. Eng. J. / Nonlinear principal component analysis using autoassociative neural networks by Kramer (1991)
  65. S. Usui, S. Nakauchi, M. Nakano, Internal color representation acquired by a five-layer neural network, Proceedings of the International Conference on Artificial Neural Networks, Helsinki, Finland, 1991, pp. 867–872.
  66. 10.2307/2289936 / J. Am. Statist. Assoc. / Principal curves by Hastie (1989)
  67. 10.1109/72.554192 / IEEE Trans. Neural Networks / Modelling the manifolds of images of handwritten digits by Hinton (1997)
  68. 10.1016/0165-1684(94)90182-1 / Signal Processing / Neural networks for maximum likelihood clustering by Abbas (1994)
  69. 10.1016/0167-8655(95)00028-F / Pattern Recognition Lett. / Stereo matching technique based on the perceptron criterion function by Cruz (1995)
  70. 10.1109/72.572096 / IEEE Trans. Neural Networks / Rotation-invariant neural pattern recognition system estimating a rotation angle by Fukumi (1997)
  71. 10.1016/S0730-725X(98)00137-4 / Magn. Resonance Imaging / Hybrid artificial neural network segmentation and classification of dynamic contrast-enhanced MR imaging (DEMRI) of osteosarcoma by Glass (1998)
  72. {'issue': '7', 'key': '10.1016/S0031-3203(01)00178-9_BIB72', 'first-page': '917', 'article-title': 'A hierarchical neural network system for signalized point recognition in aerial photographs', 'volume': '61', 'author': 'Këpuska', 'year': '1995', 'journal-title': 'Photogrammetric Eng. Remote Sensing'} / Photogrammetric Eng. Remote Sensing / A hierarchical neural network system for signalized point recognition in aerial photographs by Këpuska (1995)
  73. 10.1109/72.377961 / IEEE Trans. Neural Networks / Distortion tolerant pattern recognition based on self-organizing feature extraction by Lampinen (1995)
  74. 10.1016/0031-3203(96)00135-5 / Pattern Recognition / The use of convolution operators for detecting contaminants in food images by Patel (1996)
  75. 10.1016/0893-6080(94)90010-8 / Neural Networks / A subspace projection approach to feature extraction—the 2-D Gabor transform for character recognition by Shustorovich (1994)
  76. 10.1016/S0262-8856(97)00066-8 / Image Vision Comput. / Recognition of handprinted Chinese characters by constrained graph matching by Suganthan (1998)
  77. 10.1006/cviu.1997.0540 / Comput. Vision Image Understand / Instantiating deformable models with a neural net by Williams (1997)
  78. 10.1016/S0167-8655(97)00091-3 / Pattern Recognition Lett. / Two-stage neural network for volume segmentation of medical images by Ahmed (1997)
  79. 10.1109/23.289373 / IEEE Trans. Nucl. Sci. / Medical image segmentation by a constraint satisfaction neural network by Chen (1991)
  80. 10.1109/83.465105 / IEEE Trans. Image Process. / A neural network based stochastic active contour model (NNS-SNAKE) for contour finding of distinct features by Chiou (1995)
  81. 10.1016/0167-8655(96)00038-4 / Pattern Recognition Lett. / Assessments of neural network classifier output codings using variability of Hamming distance by Chong (1996)
  82. {'key': '10.1016/S0031-3203(01)00178-9_BIB82', 'series-title': 'Informatik Aktuell, Mustererkennung 1992, 14. DAGM-Symposium', 'first-page': '329', 'article-title': 'Topologische Merkmalskarten zur automatischen Mustererkennung in medizinischen Bilddaten', 'author': 'Franzke', 'year': '1992'} / Informatik Aktuell, Mustererkennung 1992, 14. DAGM-Symposium / Topologische Merkmalskarten zur automatischen Mustererkennung in medizinischen Bilddaten by Franzke (1992)
  83. 10.1007/BF00243290 / Biol. Cybernet. / Image segmentation using a neural network by Ghosh (1991)
  84. 10.1016/0167-8655(92)90036-Y / Pattern Recognition Lett. / Neural network, self-organization and object extraction by Ghosh (1992)
  85. 10.1142/S0218001492000485 / Int. J. Pattern Recognition Artific. Intell. / Object background classification using Hopfield type neural network by Ghosh (1992)
  86. 10.1016/0165-0114(94)00291-E / Fuzzy Sets Systems / Use of fuzziness measures in layered networks for object extraction: a generalization by Ghosh (1995)
  87. 10.1007/BF01900904 / Visual Comput. / Visualization of multidimensional data sets using a neural network by Groß (1993)
  88. 10.1016/S0734-189X(87)80015-4 / Comput. Vision, Graphics, Image Process. / Neural dynamics of surface perception: boundary webs, illuminants, and shape from shading by Grossberg (1987)
  89. 10.1016/S0893-6080(97)00065-8 / Neural Networks / Cortical dynamics of three-dimensional surface perception—binocular and half-occluded scenic images by Grossberg (1997)
  90. 10.1109/72.159057 / IEEE Trans. Neural Networks / A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain by Hall (1992)
  91. 10.1016/S0169-2607(96)01790-7 / Comput. Methods Programs Biomed. / KAMEDIN: A telemedicine system for computer supported cooperative work and remote image analysis in radiology by Handels (1997)
  92. 10.1016/0893-6080(94)00061-P / Neural Networks / A multilayer self organizing feature map for range image segmentation by Koh (1995)
  93. 10.1109/83.265980 / IEEE Trans. Image Process. / Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks by Kotropoulos (1994)
  94. 10.1007/BF01211490 / Mach. Vision Appl. / Classification of binary document images into textual or nontextual data blocks using neural network models by Le (1995)
  95. 10.1016/0031-3203(92)90132-3 / Pattern Recognition / Constraint satisfaction neural networks for image segmentation by Lin (1992)
  96. 10.1109/29.56064 / IEEE Trans. Acoustics, Speech Signal Process. / Stochastic and deterministic networks for texture segmentation by Manjunath (1990)
  97. 10.1016/0893-6080(90)90045-M / Neural Networks / Self-organizing neural networks for perception of visual motion by Marshall (1990)
  98. 10.1002/(SICI)1522-2594(199905)41:5<939::AID-MRM13>3.0.CO;2-Q / Magn. Resonance Med. / Analysis of functional magnetic resonance imaging data using self-organizing mapping with spatial connectivity by Ngan (1999)
  99. 10.1162/neco.1996.8.7.1493 / Neural Computation / Using visual latencies to improve image segmentation by Opara (1996)
  100. 10.1109/42.241881 / IEEE Trans. Med. Imaging / Neural-network-based segmentation of multi-modal medical images—a comparative and prospective study by Ozkan (1993)
  101. 10.1109/78.127962 / IEEE Trans. Signal Process. / An adaptive clustering algorithm for image segmentation by Pappas (1992)
  102. 10.1109/42.650887 / IEEE Trans. Med. Imaging / Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks by Reddick (1997)
  103. 10.1016/S0031-3203(97)00089-7 / Pattern Recognition / Multi-modal image segmentation using a modified Hopfield neural network by Rout (1998)
  104. 10.1016/0031-3203(95)00163-8 / Pattern Recognition / A system for counting people in video images using neural networks to identify the background scene by Schofield (1996)
  105. 10.1016/S0167-8655(96)00090-6 / Pattern Recognition Lett. / An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images by Serpico (1996)
  106. 10.1142/S0218001491000351 / Int. J. Pattern Recognition Artific. Intell. / Segmentation of ultrasonic images with neural networks by Silverman (1991)
  107. 10.1016/S0893-6080(05)80070-X / Neural Networks / A modular artificial neural network for texture processing by van Hulle (1993)
  108. 10.1016/S0167-8655(98)00050-6 / Pattern Recognition Lett. / Discrete-time CNN for image segmentation by active contours by Vilarino (1998)
  109. 10.1142/S0129065797000033 / Int. J. Neural Systems / An automated procedure for cluster analysis of multivariate satellite data by Waldemark (1997)
  110. 10.1016/0262-8856(92)90054-7 / Image Vision Comput. / Robust segmentation of noisy images using a neural network model by Wang (1992)
  111. 10.1162/neco.1997.9.4.805 / Neural Computation / Image segmentation based on oscillatory correlation by Wang (1997)
  112. 10.1109/83.704309 / IEEE Trans. Image Process. / Quantification and segmentation of brain tissues from MR images—a probabilistic neural network approach by Wang (1998)
  113. 10.1016/0262-8856(94)90059-0 / Image Vision Comput. / Segmentation of magnetic resonance brain images using analogue constraint satisfaction neural networks by Worth (1994)
  114. 10.1142/S0218001491000363 / Int. J. Pattern Recognition Artific. Intell. / Connectionist model binarization by Babaguchi (1991)
  115. 10.1016/0167-8655(94)00062-8 / Pattern Recognition Lett. / Optimal thresholding using multi state stochastic connectionist approach by Babu (1995)
  116. 10.1109/21.278991 / IEEE Trans. Systems, Man Cybernet. / On edge and line linking in graylevel images with connectionist models by Basak (1994)
  117. 10.1109/83.668026 / IEEE Trans. Image Process. / Optical flow estimation and moving object segmentation based on median radial basis function network by Bors (1998)
  118. 10.1016/0031-3203(94)90030-2 / Pattern Recognition / Image processing and neural networks for recognition of cartographic area features by DeKruger (1994)
  119. 10.1007/s100440050026 / Pattern Anal. Appl. / Detection of bone tumours in radiographic images using neural networks by Egmont-Petersen (1999)
  120. 10.1016/0031-3203(94)00128-9 / Pattern Recognition / Range surface characterization and segmentation using neural networks by Ghosal (1995)
  121. 10.1016/0262-8856(94)90058-2 / Image Vision Comput. / Kohonen networks for multiscale image segmentation by Haring (1994)
  122. 10.1109/72.363439 / IEEE Trans. Neural Networks / Decision based neural networks with signal image classification applications by Kung (1995)
  123. 10.1109/34.244679 / IEEE Trans. Pattern Anal. Mach. Intell. / Texture classification by wavelet packet signatures by Laine (1993)
  124. 10.1109/72.712156 / IEEE Trans. Neural Networks / Learning in the combinatorial neural model by Machado (1998)
  125. 10.1109/42.414619 / IEEE Trans. Med. Imaging / Feature selection in the pattern classification problem of digital chest radiograph segmentation by McNittgray (1995)
  126. 10.1109/83.624953 / IEEE Trans. Image Process. / Unsupervised texture classification using vector quantization and deterministic relaxation neural network by Raghu (1997)
  127. 10.1016/0165-1684(94)90209-7 / Signal Processing / Adaptive classification of textured images using linear prediction and neural networks by Sukissian (1994)
  128. 10.1016/0262-8856(92)90050-D / Image Vision Comput. / Segmentation of MR images using neural nets by Toulson (1992)
  129. 10.1016/0031-3203(93)90110-I / Pattern Recognition / Constraint satisfaction neural networks for image recognition by Tsao (1993)
  130. L.M.J. Florack, The syntactical structure of scalar images, thesis, Image Sciences Institute, Utrecht University, Utrecht, 1993.
  131. 10.1016/0933-3657(94)90002-7 / Artific. Intell. Med. / On the quality of neural net classifiers by Egmont-Petersen (1994)
  132. 10.1016/0031-3203(90)90017-F / Pattern Recognition / Texture feature performance for image segmentation by Du Buf (1990)
  133. 10.1016/0031-3203(95)00169-7 / Pattern Recognition / A survey on evaluation methods for image segmentation by Zhang (1996)
  134. 10.1016/0031-3203(95)00062-3 / Pattern Recognition / Real-time analysis of ships in radar images with neural networks by Alippi (1995)
  135. 10.1142/S0217979294000658 / Int. J. Modern Phys. B / Numerical simulation of neural networks with translation and rotation invatiant pattern recognition by Antonucci (1994)
  136. 10.1162/neco.1996.8.6.1321 / Neural Comput. / Statistical approach to shape from shading—reconstruction of 3-D face surfaces from single 2-D images by Atick (1996)
  137. 10.1109/72.471373 / IEEE Trans. Neural Networks / PsyCOP—A psychologically motivated connectionist system for object perception by Basak (1995)
  138. J. Buhmann, J. Lange, C.v.d. Malsburg et al., Object recognition with Gabor functions in the dynamic link architecture—parallel implementation on a transputer network, in: B. Kosko (Ed.), Neural Networks for Signal Processing, 1992, Prentice-Hall, Englewood Cliffs, NJ, pp. 121–160.
  139. 10.1006/cviu.1997.0561 / Comput. Vision Image Understand / The what-and-where filter—a spatial mapping neural network for object recognition and image understanding by Carpenter (1998)
  140. 10.1128/JCM.33.11.2894-2898.1995 / J. Clin. Microbiol. / Escherichia coli O157:H7 restriction pattern recognition by artificial neural network by Carson (1995)
  141. 10.1118/1.597428 / Med. Phys. / Computer-aided detection of mammographic microcalcifications: pattern recognition with an artificial neural network by Chan (1995)
  142. 10.1142/S0218001491000387 / Int. J Pattern Recognition Artific. Intell. / On the relationships between statistical pattern recognition and artificial neural networks by Chen (1991)
  143. 10.1016/0167-8655(95)00130-1 / Pattern Recognition Lett. / Visual guidance of a pig evisceration robot using neural networks by Christensen (1996)
  144. 10.1109/72.286911 / IEEE Trans. Neural Networks / Invariant image classification using triple-correlation-based neural networks by Delopoulos (1994)
  145. 10.1016/0167-8655(95)00137-9 / Pattern Recognition Lett. / Hardware implementation of RAM neural networks by do Valle Simões (1996)
  146. 10.1016/0893-6080(94)00057-S / Neural Networks / 3-D target recognition via sonar—a neural network model by Dror (1995)
  147. 10.1016/S0167-8655(99)00024-0 / Pattern Recognition Lett. / Recognition of radiopaque markers in X-ray images using a neural network as nonlinear filter by Egmont-Petersen (1999)
  148. 10.1109/10.846689 / IEEE Trans. Biomed. Eng. / Detection of leukocytes in contact with the vessel wall from in vivo microscope recordings using a neural network by Egmont-Petersen (2000)
  149. 10.1109/72.125868 / IEEE Trans. Neural Networks / Rotation-invariant neural pattern-recognition system with application to coin recognition by Fukumi (1992)
  150. 10.1016/0893-6080(88)90014-7 / Neural Networks / Neocognitron: a hierarchical neural network capable of visual pattern recognition by Fukushima (1988)
  151. 10.1007/BF01213478 / Mach. Vision Appl. / Image recognition with an analog neural net chip by Graf (1995)
  152. 10.1002/(SICI)1097-0320(19970101)27:1<36::AID-CYTO5>3.0.CO;2-J / Cytometry / Neural net-based identification of cells expressing the p300 tumor-related antigen using fluorescence image analysis by Hurst (1997)
  153. 10.1016/0169-2607(94)90179-1 / Comput. Methods Programs Biomed. / ID number recognition of X-ray films by a neural network by Itoh (1994)
  154. 10.1364/AO.34.003950 / Appl. Opt. / Optical implementation of neural networks by the use of nonlinear joint transform correlators by Javidi (1995)
  155. {'key': '10.1016/S0031-3203(01)00178-9_BIB155', 'series-title': 'Soft computing for image processing', 'article-title': 'Adaptive, evolving, hybrid connectionist systems for image pattern recognition', 'author': 'Kasabov', 'year': '2000'} / Soft computing for image processing / Adaptive, evolving, hybrid connectionist systems for image pattern recognition by Kasabov (2000)
  156. 10.1016/0262-8856(95)94381-9 / Image Vision Comput. / Neural network-based inspection of solder joints using a circular illumination by Kim (1995)
  157. 10.1364/AO.26.004947 / Appl. Opt. / Adaptive bidirectional associative memories by Kosko (1987)
  158. 10.1162/neco.1989.1.4.541 / Neural Comput. / Backpropagation applied to handwritten zip code recognition by LeCun (1989)
  159. 10.1109/35.41400 / IEEE Commun. Mag. / Handwritten digit recognition—applications of neural network chips and automatic learning by LeCun (1989)
  160. 10.1109/42.491422 / IEEE Trans. Med. Imag. / Reduction of false positives in lung nodule detection using a two-level neural classification by Lin (1996)
  161. 10.1016/S0893-6080(09)80002-6 / Neural Networks / Neural ensembles: simultaneous recognition of multiple 2-D visual objects by McQuoid (1993)
  162. 10.1109/72.701181 / IEEE Trans. Neural Networks / Evaluation of convolutional neural networks for visual recognition by Neubauer (1998)
  163. 10.1117/12.197093 / Opt. Eng. / Invariant pattern recognition for range images using the phase Fourier transform and a neural network by Paquet (1994)
  164. 10.1109/42.746620 / IEEE Trans. Med. Imag. / Computer-aided diagnosis: a neural-network-based approach to lung nodule detection by Penedo (1998)
  165. 10.1109/83.552107 / IEEE Trans. Image Process. / Model-based neural network for target detection in SAR images by Perlovsky (1997)
  166. 10.1109/83.704307 / IEEE Trans. Image Process. / Target discrimination in synthetic aperture radar using artificial neural networks by Principe (1998)
  167. 10.1117/12.61200 / Opt. Eng. / Optical pattern recognition system based on a winner-take-all model of a neural network by Shen (1992)
  168. 10.1142/S0218001496000360 / Int. J. Pattern Recognition Artific. Intell. / Genetic selection and neural modelling of piecewise-linear classifiers by Sklansky (1996)
  169. 10.1109/72.207615 / IEEE Trans. Neural Networks / Coarse-coded higher-order neural networks for PRSI object recognition by Spirkovska (1993)
  170. 10.1007/BF00993276 / Mach. Learning / Higher-order neural networks applied to 2D and 3D object recognition by Spirkovska (1994)
  171. 10.1016/0262-8856(93)90041-E / Image Vision Comput. / Chromosome location and feature extraction using neural networks by Turner (1993)
  172. 10.1109/83.704305 / IEEE Trans. Image Process. / Automatic target recognition using a feature-decomposition and data-decomposition modular neural network by Wang (1998)
  173. 10.1117/1.601919 / Opt. Eng. / Composite classifiers for automatic target recognition by Wang (1998)
  174. 10.1016/S0262-8856(98)00108-5 / Image Vision Comput. / A time delay neural network algorithm for estimating image-pattern shape and motion by Wohler (1999)
  175. 10.1109/83.704306 / IEEE Trans. Image Process. / Foveal automatic target recognition using a multiresolution neural network by Young (1998)
  176. 10.1109/83.557336 / IEEE Trans. Image Process. / Object recognition using multilayer Hopfield neural network by Young (1997)
  177. 10.1109/72.641462 / IEEE Trans. Neural Networks / Reduction of breast biopsies with a modified self-organizing map by Zheng (1997)
  178. 10.1109/83.704310 / IEEE Trans. Image Process. / Fast road classification and orientation estimation using omni-view images and neural networks by Zhu (1998)
  179. 10.1016/0167-8655(95)00128-X / Pattern Recognition Lett. / Radar image segmentation using recurrent artificial neural networks by Ziemke (1996)
  180. {'key': '10.1016/S0031-3203(01)00178-9_BIB180', 'series-title': 'Digital image processing. Concepts, Algorithms and Scientific Applications', 'author': 'Jähne', 'year': '1995'} / Digital image processing. Concepts, Algorithms and Scientific Applications by Jähne (1995)
  181. 10.1016/0262-8856(92)90024-W / Image Vision Comput. / Scale and the differential structure of images by Florack (1992)
  182. 10.1109/72.279181 / IEEE Trans. Neural Networks / Learning long-term dependencies with gradient descent is difficult by Bengio (1994)
  183. 10.1016/0031-3203(93)90026-S / Pattern Recognition / Analyzing images containing multiple sparse patterns with neural networks by Anand (1993)
  184. 10.1016/S0031-3203(96)00059-3 / Pattern Recognition / Signature verification using multiple neural classifiers by Bajaj (1997)
  185. 10.1109/42.790462 / IEEE Trans. Med. Imag. / Single and multiscale detection of masses in digital mammograms by Brake (1999)
  186. 10.1109/72.595897 / IEEE Trans. Neural Networks / Cork quality classification system using a unified image processing and fuzzy-neural network methodology by Chang (1997)
  187. 10.1117/1.601908 / Opt. Eng. / Three-dimensional object recognition from two-dimensional images using wavelet transforms and neural networks by Deschênes (1998)
  188. 10.1111/j.1365-2818.1994.tb03510.x / J. Micros. / Nuclear diffuseness as a measure of texture: definition and application to the computer-assisted diagnosis of parathyroid adenoma and carcinoma by Einstein (1994)
  189. 10.1016/0167-8655(95)00136-0 / Pattern Recognition Lett. / A computer vision approach to digit recognition on pulp bales by Heikkonen (1996)
  190. 10.1016/S0031-3203(96)00063-5 / Pattern Recognition / Off-line signature verification based on geometric feature extraction and neural network classification by Huang (1997)
  191. 10.1117/12.213654 / Opt. Eng. / Feature-based neural wavelet optical character recognition system by Iftekharuddin (1995)
  192. 10.1016/0167-8655(95)00135-2 / Pattern Recognition Lett. / Detecting danger labels with RAM-based neural networks by Jørgensen (1996)
  193. 10.1016/S0031-3203(96)00063-5 / Pattern Recognition / Off-line signature verification based on geometric feature extraction and neural network classification by Kai (1997)
  194. 10.1109/42.538938 / IEEE Trans. Med. Imag. / Detection of stellate distortions in mammograms by Karssemeijer (1996)
  195. 10.1109/29.56063 / IEEE Trans. Acoustics, Speech Signal Process. / Classification of invariant image representations using a neural network by Khotanzad (1990)
  196. 10.1016/0031-3203(94)90065-5 / Pattern Recognition / A neural network capable of learning and inference for visual pattern recognition by Kim (1994)
  197. 10.1109/72.554195 / IEEE Trans. Neural Networks / Face recognition—a convolutional neural-network approach by Lawrence (1997)
  198. 10.1016/0031-3203(94)90042-6 / Pattern Recognition / Shape recognition with a neural network classifier based on a fast polygon approximation technique by Mitzias (1994)
  199. 10.1016/0031-3203(91)90011-S / Pattern Recognition / A note on efficient parallel algorithms for the computation of 2D image moments by Pan (1991)
  200. 10.1016/0031-3203(94)90127-9 / Pattern Recognition / A comparison of neural net classifiers and linear tree classifiers: their similarities and differences by Park (1994)
  201. 10.1016/S0893-6080(97)80009-3 / Neural Networks / Multispectral image classification using gabor filters and stochastic relaxation neural network by Raghu (1997)
  202. 10.1016/0893-6080(95)00070-4 / Neural Networks / pRAM nets for detection of small targets in sequences of infra-red images by Ramanan (1995)
  203. 10.1016/0893-6080(94)00077-Y / Neural Networks / Studies on object recognition from degraded images using neural networks by Ravichandran (1995)
  204. 10.1016/0956-7135(95)91452-Q / Food Control / Recognition of overlapping particles in granular product images using statistics and neural networks by Ros (1995)
  205. 10.1016/0893-6080(95)00067-4 / Neural Networks / Integrating neural networks with image pyramids to learn target context by Sajda (1995)
  206. 10.1016/S0262-8856(98)00055-9 / Image Vision Comput. / Text identification for document image analysis using a neural network by Strouthopoulos (1998)
  207. 10.1117/1.601915 / Opt. Eng. / Three-dimensional target recognition and tracking using neural networks trained on optimal views by Takác (1998)
  208. 10.1016/0167-8655(96)00064-5 / Pattern Recognition Lett. / Use neural networks to determine matching order for recognizing overlapping objects by Tsai (1996)
  209. 10.1109/34.273720 / IEEE Trans. Pattern Anal. Mach. Intell. / 3-D Object recognition and shape estimation from image contours using b-splines, shape invariant matching, and neural network.2 by Wang (1994)
  210. 10.1117/1.602017 / Opt. Eng. / Feature space trajectory distorted object representation for classification and pose estimation by Casasent (1998)
  211. {'key': '10.1016/S0031-3203(01)00178-9_BIB211', 'series-title': 'Image processing, Analysis, and Machine Vision', 'author': 'Sonka', 'year': '1999'} / Image processing, Analysis, and Machine Vision by Sonka (1999)
  212. 10.1016/S0893-6080(00)00043-5 / Neural Networks / Implications of physical symmetries in adaptive image classifiers by Sams (2000)
  213. 10.1109/3477.704293 / IEEE Trans. System, Man, Cybernet. Part B: Cybernetics / Toward a completely automatic neural-network-based human chromosome analysis by Lerner (1998)
  214. 10.1016/S0262-8856(97)00055-3 / Image Vision Comput. / Automatic target recognition for naval traffic control using neural networks by Pasquariello (1998)
  215. 10.1016/0262-8856(96)89022-6 / Image Vision Comput. / Promising research: vision-based robot positioning using neural networks by Wells (1996)
  216. 10.1016/S0167-8655(98)00058-0 / Pattern Recognition Lett. / Exploiting neural trees in range image understanding by Foresti (1998)
  217. 10.1097/00004424-199406000-00002 / Invest. Radiol. / Diagnosis of focal bone lesions using neural networks by Reinus (1994)
  218. 10.1016/S0167-8655(96)00089-X / Pattern Recognition Lett. / Bayesian and neural networks for geographic information processing by Stassopoulou (1996)
  219. M. Egmont-Petersen, W.R.M. Dassen, C.J.H.J. Kirchhof et al., An explanation facility for a neural network trained to predict arterial fibrillation directly after cardiac surgery, Proceedings of Computers in Cardiology 1998, Cleveland, 1998, pp. 489–492. (10.1109/CIC.1998.731909)
  220. 10.1109/72.728352 / IEEE Trans. Neural Networks / The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks by Tickle (1998)
  221. 10.1006/cviu.1996.0035 / Comput. Vision Image Understand. / Voronoi pyramids controlled by Hopfield neural networks by Bertin (1996)
  222. 10.1109/34.297953 / IEEE Trans. Pattern Anal. Mach. Intell. / A neural network approach to CSG-based 3-D object recognition by Chen (1994)
  223. 10.1016/0031-3203(94)90128-7 / Pattern Recognition / Polygonal approximation using a competitive Hopfield neural network by Chung (1994)
  224. 10.1109/72.105413 / IEEE Trans. Neural Networks / Hopfield network for stereo correspondence by Nasrabadi (1992)
  225. 10.1016/0167-8655(95)00134-4 / Pattern Recognition Lett. / A neural matching algorithm for 3-D reconstruction from stereo pairs of linear images by Ruichek (1996)
  226. 10.1016/S0167-8655(96)00117-1 / Pattern Recognition Lett. / A Hopfield neural network for adaptive image segmentation: an active surface paradigm by Shen (1997)
  227. 10.1016/0262-8856(95)91467-R / Image Vision Comput. / Pattern recognition by homomorphic graph matching using Hopfield neural networks by Suganthan (1995)
  228. 10.1016/0031-3203(94)00166-J / Pattern Recognition / Pattern recognition by graph matching using the Potts MFT neural networks by Suganthan (1995)
  229. 10.1016/S0262-8856(97)00004-8 / Image Vision Comput. / Optimal mapping of graph homomorphism onto self organising hopfield network by Suganthan (1997)
  230. 10.1016/0031-3203(92)90101-N / Pattern Recognition / Relaxation by the Hopfield neural network by Yu (1992)
  231. E.R. Hancock, J. Kittler, A Bayesian interpretation for the Hopfield network, Proceedings of the IEEE Conference on Neural Networks, San Francisco, CA, 1993, pp. 341–346. (10.1109/ICNN.1993.298580)
  232. {'key': '10.1016/S0031-3203(01)00178-9_BIB232', 'series-title': 'Introduction to operations research', 'author': 'Hiller', 'year': '1995'} / Introduction to operations research by Hiller (1995)
  233. H.J. Kappen, W. Wiegerinck, T. Morgan, et al., Stimulation initiative for european neural applications (SIENA), in: B. Kappen, S. Gielen (Eds.), Neural networks: Best practice in Europe, Vol. 8, World Scientific, Singapore, 1997, pp. 1–8. (http://www.mbfys.kun.nl/snn/Research/siena/index.html). (10.1142/9789814529020)
  234. http://www.kcl.ac.uk/neuronet.
  235. http://www.brainstorm.co.uk/nctt.
  236. 10.1016/0031-3203(94)90006-X / Pattern Recognition / Connectionist models of face processing—a survey by Valentin (1994)
  237. {'issue': '5C', 'key': '10.1016/S0031-3203(01)00178-9_BIB237', 'first-page': '3887', 'article-title': 'PAPNET-assisted primary screening of conventional cervical smears', 'volume': '20', 'author': 'Cenci', 'year': '2000', 'journal-title': 'Anticancer Res.'} / Anticancer Res. / PAPNET-assisted primary screening of conventional cervical smears by Cenci (2000)
  238. 10.1088/0031-9155/45/10/308 / Phys. Med. Biol. / An automatic method to discriminate malignant masses from normal tissue in digital mammograms by Brake (2000)
  239. 10.1016/S1386-5056(00)00067-8 / Int. J. Med. Inform. / A computer-aided design mammography screening system for detection and classification of microcalcifications by Lee (2000)
  240. Armed Forces Communications and Electronics Association, DARPA neural network study, AFCEA, Fairfax, 1988.
  241. 10.1109/72.80203 / IEEE Trans. Neural Networks / Survey of neural network technology for automatic target recognition by Roth (1990)
  242. 10.1016/S0893-6080(98)00031-8 / Neural Networks / Assessing the importance of features for multi-layer perceptrons by Egmont-Petersen (1998)
  243. 10.1109/34.574797 / IEEE Trans. Pattern Anal. Mach. Intell. / Feature selection: Evaluation, application, and small sample performance by Jain (1997)
  244. 10.1016/0167-8655(94)90127-9 / Pattern Recognition Lett. / Floating search methods in feature selection by Pudil (1994)
  245. 10.1016/S0167-8655(99)00087-2 / Pattern Recognition Lett. / Support vector domain description by Tax (1999)
  246. 10.1016/S0167-8655(99)00112-9 / Pattern Recognition Lett. / Sequential selection of discrete features for neural networks—a Bayesian approach to building a cascade by Egmont-Petersen (1999)
  247. 10.1109/34.683784 / IEEE Trans. Pattern Anal. Mach. Intell. / Conundrum of combinatorial complexity by Perlovsky (1998)
  248. P. Simard, Y. LeCun, J. Denker, Efficient pattern recognition using a new transformation distance, Proc. Adv. Neural Inform. Process. Systems, 1994, pp. 50–58.
  249. W.J. Christmas, J. Kittler, M. Petrou, Analytical approaches to the neural net architecture design, Proceedings of Pattern Recognition in Practice IV, Vlieland, 1994, pp. 325–335. (10.1016/B978-0-444-81892-8.50033-X)
  250. 10.1109/72.329683 / IEEE Trans. Neural Networks / Network information criterion—determining the number of hidden units for an artificial neural network model by Murata (1994)
  251. 10.1080/00207729608929325 / Int. J. Systems Sci. / Neuro-fuzzy computing for image processing and pattern recognition by Pal (1996)
  252. 10.1007/BF00337288 / Biol. Cybernet. / Self-organized formation of topologically correct feature maps by Kohonen (1982)
  253. 10.1073/pnas.81.10.3088 / Proc. Nat. Acad. Sci. U.S.A. / Neural networks and physical systems with emergent collective computational abilities by Hopfield (1982)
  254. {'key': '10.1016/S0031-3203(01)00178-9_BIB254', 'series-title': 'Statistical Learning Theory', 'author': 'Vapnik', 'year': '1998'} / Statistical Learning Theory by Vapnik (1998)
Dates
Type When
Created 22 years, 10 months ago (Oct. 11, 2002, 8:33 a.m.)
Deposited 2 years, 4 months ago (April 23, 2023, 5:54 p.m.)
Indexed 2 days, 6 hours ago (Aug. 23, 2025, 9:50 p.m.)
Issued 22 years, 10 months ago (Oct. 1, 2002)
Published 22 years, 10 months ago (Oct. 1, 2002)
Published Print 22 years, 10 months ago (Oct. 1, 2002)
Funders 0

None

@article{Egmont_Petersen_2002, title={Image processing with neural networks—a review}, volume={35}, ISSN={0031-3203}, url={http://dx.doi.org/10.1016/s0031-3203(01)00178-9}, DOI={10.1016/s0031-3203(01)00178-9}, number={10}, journal={Pattern Recognition}, publisher={Elsevier BV}, author={Egmont-Petersen, M. and de Ridder, D. and Handels, H.}, year={2002}, month=oct, pages={2279–2301} }