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

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

Abstract 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....

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Bibliographic Details
Main Authors:	Zhongyi Han, Benzheng Wei, Yuanjie Zheng, Yilong Yin, Kejian Li, Shuo Li
Format:	Article
Language:	English
Published:	Nature Publishing Group 2017-06-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-017-04075-z

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