DOI: 10.1007/3-540-45468-3_62. Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation

Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation

10.1007/3-540-45468-3_62

Crossref book-chapter

Springer Berlin Heidelberg

Lecture Notes in Computer Science (297)

Bibliography

Gerig, G., Jomier, M., & Chakos, M. (2001). Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation. Medical Image Computing and Computer-Assisted Intervention â MICCAI 2001, 516â523.

Authors 3

Guido Gerig (first)
Matthieu Jomier (additional)
Miranda Chakos (additional)

References 9 Referenced 151

Bowyer, K.W., Phillips, P., Empirical Evaluation Techniques in Computer Vision, IEEE Computer Society, 1998
Chalana V and Kim Y: A methodology for evaluation of boundary detection algorithms on medical images, IEEE Trans. Med. Imaging 16: 642–652 (1997) (10.1109/42.640755) / IEEE Trans. Med. Imaging by V. Chalana (1997)
Hogan, R.E., Mark, K.E., Wang, L., Joshi, S., Miller, M.I. and Bucholz, R.D., Mesial Temporal Sclerosis and Temporal Lobe Epilepsy: MR Imaging Deformation-based Segmentation of the Hippocampus in Five Patients, Radiology 216, pp. 291–297, July 2000 (10.1148/radiology.216.1.r00jl41291) / Radiology by R.E. Hogan (2000)
IRIS (1999): Interactive Rendering and Image Segmentation, UNC student project spring 1999, Gregg, D., Larsen, E., Neelamkavil, A., Sthapit, S. and Wynn, Chris, Dave Stotts and Guido Gerig, supervisors, http://www.cs.unc.edu/~stotts/COMP145/homes/iris/
Kapur, T., Grimson, E.L., Wells, W.M., and Kikinis, R., Segmentation of brain tissue from magnetic resonance images, Medical Image Analysis, 1(2);109–127, 1996 (10.1016/S1361-8415(96)80008-9) / Medical Image Analysis by T. Kapur (1996)
Klette R, Stiehl SH, Viergever MA, and Vincken KL, eds: Performance Characterization in Computer Vision, Kluwer Academic Publishers (2000) (10.1007/978-94-015-9538-4)
Niessen, W.J., Bouma, C.J., Vincken, K.L., Viergever, M.A., Error Metrics for Quantitative Evaluation of Medical Image Segmentation, in Performance Characterization in Computer Vision, Kluwer Academic Publishers, pp. 299–311, 2000 (10.1007/978-94-015-9538-4_22)
Remiejer P, Rasch C, Lebesque JV, and van Herk M: A general methodology for three-dimensional analysis of variation in target volume delineation. Med. Phys. 27: 1961–1970 (1999) / Med. Phys. by P. Remiejer (1999)
Vincken, K.L., Koster, A.S.E., De Graaf, C.N. and Viergever, M.A., Model-based evaluation of image segmentation methods, in Performance Characterization in Computer Vision, Kluwer Academic Publishers, pp. 299–311, 2000 (10.1007/978-94-015-9538-4_24)

Dates

Type	When
Created	15 years, 4 months ago (March 29, 2010, 5:13 p.m.)
Deposited	6 years, 2 months ago (May 27, 2019, 3:21 p.m.)
Indexed	15 hours, 54 minutes ago (Aug. 23, 2025, 1:05 a.m.)
Issued	24 years, 7 months ago (Jan. 1, 2001)
Published	24 years, 7 months ago (Jan. 1, 2001)
Published Online	23 years, 10 months ago (Oct. 5, 2001)
Published Print	24 years, 7 months ago (Jan. 1, 2001)

Funders 0

None

BibTeX

@inbook{Gerig_2001, title={Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation}, ISBN={9783540454687}, ISSN={0302-9743}, url={http://dx.doi.org/10.1007/3-540-45468-3_62}, DOI={10.1007/3-540-45468-3_62}, booktitle={Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001}, publisher={Springer Berlin Heidelberg}, author={Gerig, Guido and Jomier, Matthieu and Chakos, Miranda}, year={2001}, pages={516–523} }

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