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An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images

PURPOSE: To develop and evaluate a new automatic classification algorithm to identify voxels containing skin, vasculature, adipose, and fibroglandular tissue in dedicated breast CT images. METHODS: The proposed algorithm combines intensity‐ and region‐based segmentation methods with energy minimizin...

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Detalles Bibliográficos
Autores principales:	Caballo, Marco, Boone, John M., Mann, Ritse, Sechopoulos, Ioannis
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2018
Materias:	QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997547/ https://www.ncbi.nlm.nih.gov/pubmed/29676025 http://dx.doi.org/10.1002/mp.12920

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