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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...
Autores principales: | Han, Zhongyi, Wei, Benzheng, Zheng, Yuanjie, Yin, Yilong, Li, Kejian, Li, Shuo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
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 |
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