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

• Published in: Scientific reports Vol. 7; no. 1; pp. 4172 - 10
• Main Authors: Han, Zhongyi, Wei, Benzheng, Zheng, Yuanjie, Yin, Yilong, Li, Kejian, Li, Shuo
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.06.2017; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/985; 639/705/117; Automation; Breast cancer; Breast Neoplasms - classification; Breast Neoplasms - pathology; Classification; Databases as Topic; Deep Learning; Female; Fibroadenoma; Humanities and Social Sciences; Humans; Mammography; Models, Theoretical; multidisciplinary; Neural Networks (Computer); Science; Science (multidisciplinary)

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...