Artificial Intelligence for Predicting HER2 Status of Gastric Cancer Based on Whole‐Slide Histopathology Images: A Retrospective Multicenter Study

Artificial Intelligence for Predicting HER2 Status of Gastric Cancer Based on Whole‐Slide Histopathology Images: A Retrospective Multicenter Study

Abstract Human epidermal growth factor receptor 2 (HER2) positive gastric cancer (GC) shows a robust response to the combined therapy based HER2‐targeted therapy. The application of these therapies is highly dependent on the evaluation of tumor HER2 status. However, there are many risks and challeng...

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Bibliographic Details
Main Authors:	Yuhan Liao, Xinhua Chen, Shupeng Hu, Bing Chen, Xinghua Zhuo, Hao Xu, Xiaojin Wu, Xiaofeng Zeng, Huimin Zeng, Donghui Zhang, Yunfei Zhi, Liang Zhao
Format:	Article
Language:	English
Published:	Wiley 2025-03-01
Series:	Advanced Science
Subjects:	deep learning model gastric cancer human epidermal growth factor receptor 2 whole slide images
Online Access:	https://doi.org/10.1002/advs.202408451
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