Random Forest, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
Active contours without edges, IEEE Transactions on Image Processing, vol.10, issue.2, pp.266-277, 2001. ,
DOI : 10.1109/83.902291
Active Appearance Models, Eur. Conf. on Comp. Vision, pp.484-498, 1998. ,
Automatic initialization of an active shape model of the prostate, Medical Image Analysis, vol.12, issue.4, pp.469-483, 2008. ,
DOI : 10.1016/j.media.2008.02.001
Accuracy and repeatability of prostate volume measurements by transrectal ultrasound, Prostate Cancer and Prostatic Diseases, vol.5, issue.4, pp.273-278, 2002. ,
DOI : 10.1038/sj.pcan.4500568
Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation, Prostate Cancer Imaging LNCS, vol.25, pp.35-46, 2011. ,
DOI : 10.1109/TMI.2005.862744
URL : https://hal.archives-ouvertes.fr/hal-00681463
Statistical shape and texture model of quadrature phase information for prostate segmentation, International Journal of Computer Assisted Radiology and Surgery, vol.25, issue.1, pp.43-55, 2012. ,
DOI : 10.1007/s11548-011-0616-y
URL : https://hal.archives-ouvertes.fr/hal-00612739
A probabilistic framework for automatic prostate segmentation with a statistical model of shape and appearance, 2011 18th IEEE International Conference on Image Processing, pp.713-716, 2011. ,
DOI : 10.1109/ICIP.2011.6116653
URL : https://hal.archives-ouvertes.fr/hal-00629085
Optimal approximations by piecewise smooth functions and associated variational problems, Communications on Pure and Applied Mathematics, vol.3, issue.5, pp.577-685, 1989. ,
DOI : 10.1002/cpa.3160420503
Segmentation of prostate boundaries from ultrasound images using statistical shape model, IEEE Transactions on Medical Imaging, vol.22, issue.4, pp.539-551, 2003. ,
DOI : 10.1109/TMI.2003.809057
Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation, IEEE Trans. on Biomed. Engineering, vol.57, pp.1158-1166, 2010. ,