This paper describes the basis and behavior of segmentation of single figures in 3D by deformable m-reps models. Results are given for the segmentation of kidneys from CT and of h...
Stephen M. Pizer, Sarang C. Joshi, P. Thomas Fletc...
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
A new, practical, and efficient approach is proposed for 3D vascular segmentation and bifurcation structure extraction. The method uses a combination of mathematical morphology, re...
Yoshitaka Masutani, Thomas Schiemann, Karl Heinz H...
We propose a novel Active Volume Model (AVM) which deforms in a free-form manner to minimize energy. Unlike Snakes and level-set active contours which only consider curves or surfa...
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...