Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model

Automated breast cancer multi-classification from histopathological images plays a key role in computer-aided breast cancer diagnosis or prognosis. Breast cancer multi-classification is to identify subordinate classes of breast cancer (Ductal carcinoma, Fibroadenoma, Lobular carcinoma, etc.). Howeve...

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Detalles Bibliográficos
Autores principales: Han, Zhongyi, Wei, Benzheng, Zheng, Yuanjie, Yin, Yilong, Li, Kejian, Li, Shuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482871/
https://www.ncbi.nlm.nih.gov/pubmed/28646155
http://dx.doi.org/10.1038/s41598-017-04075-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482871/
https://www.ncbi.nlm.nih.gov/pubmed/28646155
http://dx.doi.org/10.1038/s41598-017-04075-z

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