Machine learning prediction of HER2-low expression in breast cancers based on hematoxylin–eosin-stained slides

被引：0

作者：

Jun Du ^{[1
]}

Jun Shi ^{[2
]}

Dongdong Sun ^{[3
]}

Yifei Wang ^{[4
]}

Guanfeng Liu ^{[4
]}

Jingru Chen ^{[5
]}

Wei Wang ^{[5
]}

Wenchao Zhou ^{[1
]}

Yushan Zheng ^{[2
]}

Haibo Wu ^{[2
]}

机构：

[1] University of Science and Technology of China,Department of Pathology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine

[2] University of Science and Technology of China,Intelligent Pathology Institute, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine

[3] Hefei University of Technology,School of Software

[4] Hefei University of Technology,School of Computer Science and Information Engineering

[5] University of Science and Technology of China,School of Life Sciences, Division of Life Sciences and Medicine

[6] Beihang University,School of Engineering Medicine, Beijing Advanced Innovation Center on Biomedical Engineering

[7] University of Science and Technology of China,Department of Pathology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine

来源：

Breast Cancer Research | / 27卷 / 1期

关键词：

Breast cancer; Machine learning; Prediction; Hematoxylin–eosin; HER2;

D O I：

10.1186/s13058-025-01998-8

中图分类号：

学科分类号：

摘要：

引用

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