: Medical image segmentation often involves variants of deformable models to account for both the variability of object shapes and variation in image quality. Segmentation quality, however, highly depends on the initial estimate, and human guidance is often needed to guarantee acceptable results. For automating segmentation, our method employs a quality
Karin Engel, Klaus D. Toennies