Automatic Segmentation of Breast Carcinomas from DCE-MRI using a Statistical Learning Algorithm

Segmenting regions of high angiogenic activity corresponding to malignant tumors from DCE-MRI is a time-consuming task requiring processing of data in 4 dimensions. Quantitative analyses developed thus far are highly sensitive to external factors and are valid only under certain operating assumption...

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Detalles Bibliográficos
Publicado en:Proc IEEE Int Symp Biomed Imaging
Autores principales: Jayender, J., Vosburgh, K.G., Gombos, E., Ashraf, A., Kontos, D., Gavenonis, S.C., Jolesz, F. A., Pohl, K.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2012
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5464330/
https://ncbi.nlm.nih.gov/pubmed/28603582
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2012.6235499
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