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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: | , , , , , |
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Format: | Artigo |
Idioma: | Inglês |
Publicat: |
Hindawi Publishing Corporation
2012
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Matèries: | |
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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