Immunohistochemical HER2 Recognition and Analysis of Breast Cancer Based on Deep Learning

doi:10.3390/diagnostics13020263

	Immunohistochemical HER2 Recognition and Analysis of Breast Cancer Based on Deep Learning
	Che, Yuxuan 1,2,3; Ren, Fei 1; Zhang, Xueyuan 4; Cui, Li 1; Wu, Huanwen 5; Zhao, Ze 1
	2023
发表期刊	DIAGNOSTICS
卷号	13 期号:2 页码:14
摘要	Breast cancer is one of the common malignant tumors in women. It seriously endangers women's life and health. The human epidermal growth factor receptor 2 (HER2) protein is responsible for the division and growth of healthy breast cells. The overexpression of the HER2 protein is generally evaluated by immunohistochemistry (IHC). The IHC evaluation criteria mainly includes three indexes: staining intensity, circumferential membrane staining pattern, and proportion of positive cells. Manually scoring HER2 IHC images is an error-prone, variable, and time-consuming work. To solve these problems, this study proposes an automated predictive method for scoring whole-slide images (WSI) of HER2 slides based on a deep learning network. A total of 95 HER2 pathological slides from September 2021 to December 2021 were included. The average patch level precision and f1 score were 95.77% and 83.09%, respectively. The overall accuracy of automated scoring for slide-level classification was 97.9%. The proposed method showed excellent specificity for all IHC 0 and 3+ slides and most 1+ and 2+ slides. The evaluation effect of the integrated method is better than the effect of using the staining result only.
关键词	breast cancer HER2 IHC whole-slide image deep learning
DOI	10.3390/diagnostics13020263
收录类别	SCI
语种	英语
资助项目	Chinese Academy of Sciences[CAS-WX2021SF-0101] ; Chinese Academy of Sciences[XDA16021400] ; National Key Research and Development Program of China[2021YFF1201005] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA16021400]
WOS研究方向	General & Internal Medicine
WOS类目	Medicine, General & Internal
WOS记录号	WOS:000917025700001
出版者	MDPI
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/19990
专题	中国科学院计算技术研究所期刊论文
通讯作者	Wu, Huanwen; Zhao, Ze
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 101408, Peoples R China 3.Jinfeng Lab, Chongqing 401329, Peoples R China 4.Beijing Zhijian Life Technol Co Ltd, Beijing 100036, Peoples R China 5.Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Pathol, Beijing 100730, Peoples R China
推荐引用方式 GB/T 7714	Che, Yuxuan,Ren, Fei,Zhang, Xueyuan,et al. Immunohistochemical HER2 Recognition and Analysis of Breast Cancer Based on Deep Learning[J]. DIAGNOSTICS,2023,13(2):14.
APA	Che, Yuxuan,Ren, Fei,Zhang, Xueyuan,Cui, Li,Wu, Huanwen,&Zhao, Ze.(2023).Immunohistochemical HER2 Recognition and Analysis of Breast Cancer Based on Deep Learning.DIAGNOSTICS,13(2),14.
MLA	Che, Yuxuan,et al."Immunohistochemical HER2 Recognition and Analysis of Breast Cancer Based on Deep Learning".DIAGNOSTICS 13.2(2023):14.