Artificial intelligence for assisted HER2 immunohistochemistry evaluation of breast cancer: A systematic review and meta-analysis-Reference-Cited by-同舟云学术

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Artificial intelligence for assisted HER2 immunohistochemistry evaluation of breast cancer: A systematic review and meta-analysis

Published:2024-08 Issue: Volume:260 Page:155472
ISSN:0344-0338
Container-title:Pathology - Research and Practice
language:en
Short-container-title:Pathology - Research and Practice

Author:

Wu Si,Li Xiang,Miao Jiaxian,Xian Dongyi,Yue Meng,Liu Hongbo,Fan Shishun,Wei Weiwei,Liu Yueping

Publisher

Elsevier BV

Reference49 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J. Clin.,2021

2. HER-2 signaling and inhibition in breast cancer;Browne;Curr. Cancer Drug Targets,2009

3. Evaluating the predictive value of biomarkers for efficacy outcomes in response to pertuzumab- and trastuzumab-based therapy: an exploratory analysis of the TRYPHAENA study;Schneeweiss;Breast Cancer Res,2014

4. Trastuzumab deruxtecan in previously treated HER2-low advanced breast cancer;Modi;N. Engl. J. Med,2022

5. ESMO expert consensus statements (ECS) on the definition, diagnosis, and management of HER2-low breast cancer;Tarantino;Ann. Oncol.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semi-automated analysis of HER2 immunohistochemistry in invasive breast carcinoma using whole slide images: utility for interpretation in clinical practice;Pathology and Oncology Research;2024-08-29

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