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

Internet

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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