Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

Microcalcification is an effective indicator of early breast cancer. To improve the diagnostic accuracy of microcalcifications, this study evaluates the performance of deep learning-based models on large datasets for its discrimination. A semi-automated segmentation method was used to characterize a...

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Detalles Bibliográficos
Autores principales: Wang, Jinhua, Yang, Xi, Cai, Hongmin, Tan, Wanchang, Jin, Cangzheng, Li, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4895132/
https://www.ncbi.nlm.nih.gov/pubmed/27273294
http://dx.doi.org/10.1038/srep27327

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4895132/
https://www.ncbi.nlm.nih.gov/pubmed/27273294
http://dx.doi.org/10.1038/srep27327

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