Nonparametric Training of Snakes to Find Indistinct Boundaries

  • Samuel D. Fenster Chun-Bin Gary Kuo John R. Kender
  • Published 2001
We enable highly improved performance of deformable model (snake) segmentation of a known type of object (human bladder) with unclear edges in a cluttered domain (abdominal CT scans). This is accomplished by learning an objective function from ground-truth contours in test images, using a nonparametric estimator of the distributions of chosen image… CONTINUE READING