Shape recovery algorithms using level sets in 2-D a state-of-the-art review.

The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape recovery. In an effort to facilitate a clear and full understanding of these powerful state-of-the-art applied mathematic...

詳細記述

書誌詳細

出版年:	IEEE Transactions on information technology in biomedicine 6, 1 (2002).
第一著者:	Suri, J.S
フォーマット:	論文
言語:	English
主題:	2D medical imagery. 3D medical imagery. Bayesian bidirectional classifier-based regularizers. MRI. Clustering-based regularizers. Coupled constrained-based regularizers. Curve/surface evolution. Geometric deformable models. Level sets. Neurological image analysis. Shape recovery algorithms. Shape-based regularizers. Topology preservation.