Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features

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• 作者：Tao Wan^aAuthor Vitae ; Jiajia Cao^bAuthor Vitae ; Jianhui Chen^cAuthor Vitae ; Zengchang Qin^b ; ^{zcqin@buaa.edu.cn}Author Vitae
• 关键词：Breast cancer grading ; Histopathology ; Multi-level features ; Convolutional neural networks ; Cascaded ensemble
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：15 March 2017
• 年：2017
• 卷：229
• 期：Complete
• 页码：34-44
• 全文大小：8627 K
• 卷排序：229

文摘

An automated breast cancer grading method in histopathology is presented. Multi-level features are extracted to capture histomorphometric attributes in histology. The grading method greatly improves the breast cancer grading performance.