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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pang, Yachun, Li, Li, Hu, Wenyong, Peng, Yanxia, Liu, Lizhi, Shao, Yuanzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3431170/
https://www.ncbi.nlm.nih.gov/pubmed/22952558
http://dx.doi.org/10.1155/2012/634907

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3431170/
https://www.ncbi.nlm.nih.gov/pubmed/22952558
http://dx.doi.org/10.1155/2012/634907

Ejemplares similares