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Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
2002
IEEE Transactions on Information Technology in Biomedicine
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 mathematical tools, this paper is an attempt to explore these geometric methods, their implementations and integration of regularizers to improve the robustness of these topologically independent propagating
doi:10.1109/4233.992158
pmid:11936600
fatcat:7k2degbqmzcjhp7ssykjtkjo5e