INCORPORATING ANATOMY INTO THE MEDICAL CURRICULUM Columbia University's Vesalius Project provides insights into how image-based technology can benefit medical training and clinical practice.

[1]  Jayaram K. Udupa,et al.  Methodology for evaluating image-segmentation algorithms , 2002, SPIE Medical Imaging.

[2]  Jayaram K. Udupa,et al.  Hybrid Segmentation Methods , 2004 .

[3]  Pat Molholt,et al.  New views of male pelvic anatomy: Role of computer‐generated 3D images 1 , 2004, Clinical anatomy.

[4]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[5]  Supun Samarasekera,et al.  Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation , 1996, CVGIP Graph. Model. Image Process..

[6]  Michael J. Ackerman,et al.  Technical Milestone: The visible Human Male: A Technical Report , 1996, J. Am. Medical Informatics Assoc..

[7]  Alan Kalvin,et al.  Segmentation and Surface-Based Modeling Objects in Three-Dimensional Biomedical Images , 1991 .

[8]  Dimitris N. Metaxas,et al.  Image segmentation based on the integration of pixel affinity and deformable models , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).