Automatic tumor segmentation using knowledgebased techniques, IEEE Trans. on Medical Imaging, vol.17, issue.2, pp.238-251, 1998. ,
DOI : 10.1109/42.700731
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.8043
Interaction in the segmentation of medical images: A survey, Medical Image Analysis, vol.5, issue.2, pp.127-142, 2001. ,
DOI : 10.1016/S1361-8415(00)00041-4
A modular computer vision system for image segmentation, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.3, issue.5, pp.540-557, 1981. ,
A geometric snake model for segmentation of medical imagery, IEEE Transactions on Medical Imaging, vol.16, issue.2, pp.199-209, 1997. ,
DOI : 10.1109/42.563665
URL : https://hal.archives-ouvertes.fr/hal-00002725
Deformable models in medical image analysis: a survey, Medical Image Analysis, vol.1, issue.2, pp.91-108, 1996. ,
DOI : 10.1016/S1361-8415(96)80007-7
An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images, Lecture Notes in Computer Science, vol.1613, pp.140-153, 1999. ,
DOI : 10.1007/3-540-48714-X_11
MRI segmentation: Methods and applications, Magnetic Resonance Imaging, vol.13, issue.3, pp.343-368, 1995. ,
DOI : 10.1016/0730-725X(94)00124-L
Support vector machines for texture classification, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.24, issue.11, pp.1542-1550, 2002. ,
Learning with Kernels Support Vector Machines, Regularization, Optimization and Beyond, 2002. ,
Soft margins for AdaBoost, Machine Learning, pp.287-320, 2001. ,
Comparison of machine learning and traditional classifiers in glaucoma diagnosis, IEEE Transactions on Biomedical Engineering, vol.49, issue.9, pp.963-974, 2002. ,
DOI : 10.1109/TBME.2002.802012