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Computerized Segmentation and Characterization of Breast Lesions in Dynamic Contrast-Enhanced MR Images Using Fuzzy c-Means Clustering and Snake Algorithm

This paper presents a novel two-step approach that incorporates fuzzy c-means (FCMs) clustering and gradient vector flow (GVF) snake algorithm for lesions contour segmentation on breast magnetic resonance imaging (BMRI). Manual delineation of the lesions by expert MR radiologists was taken as a refe...

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Autors principals: Pang, Yachun, Li, Li, Hu, Wenyong, Peng, Yanxia, Liu, Lizhi, Shao, Yuanzhi
Format: Artigo
Idioma:Inglês
Publicat: Hindawi Publishing Corporation 2012
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3431170/
https://ncbi.nlm.nih.gov/pubmed/22952558
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2012/634907
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