Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma

被引：0
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作者：
Min Feng
Yang Deng
Libo Yang
Qiuyang Jing
Zhang Zhang
Lian Xu
Xiaoxia Wei
Yanyan Zhou
Diwei Wu
Fei Xiang
Yizhe Wang
Ji Bao
Hong Bu
机构：
[1] West China Hospital,Laboratory of Pathology
[2] Sichuan University,Department of Pathology
[3] West China Second University Hospital,Department of Pathology
[4] Sichuan University & key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University),Department of Pathology
[5] Ministry of Education,undefined
[6] West China Hospital,undefined
[7] Sichuan University,undefined
[8] Chengfei Hospital,undefined
[9] Chengdu Knowledge Vision Science and Technology Co.,undefined
[10] Ltd,undefined
来源：
Diagnostic Pathology | / 15卷
关键词：
Convolutional neural network; Whole tissue sections; Breast invasive ductal carcinoma; Automatic recognition; Ki-67 counting;
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