Machine learning prediction of HER2-low expression in breast cancers based on hematoxylin–eosin-stained slides - Du, Jun; Shi, Jun; Sun, Dongdong; Wang, Yifei; Liu, Guanfeng; Chen, Jingru; Wang, Wei; Zhou, Wenchao; Zheng, Yushan; Wu, Haibo (Breast cancer research : BCR, 2025)
Keywords: Artificial intelligence; Biomarkers, Tumor; Breast cancer; Breast Neoplasms - diagnosis; Breast Neoplasms - genetics; Breast Neoplasms - metabolism; Breast Neoplasms - pathology; Cancer; Care and treatment; Clinical medicine; Clinical trials; Datasets; Deep learning; Developing countries; Eosine Yellowish-(YS) - chemistry; ErbB-2 protein; Female; Gene amplification; Genetic aspects; Graph representations; Hematoxylin - chemistry; Hematoxylin–eosin; HER2; Humans; Hybridization; Immunohistochemistry; Immunohistochemistry - methods; LDCs; Learning algorithms; Machine Learning; Neural networks; Pathology; Patients; Pertuzumab; Prediction; Receptor, ErbB-2 - genetics; Receptor, ErbB-2 - metabolism; ROC Curve; Semantics; Staining and Labeling - methods; Tumors; British Columbia; China; Breast cancer; HER2; Hematoxylin–eosin; Machine learning; Prediction