journal article·2025-03Open access

Artificial Intelligence for Predicting HER2 Status of Gastric Cancer Based on Whole‐Slide Histopathology Images: A Retrospective Multicenter Study (Adv. Sci. 10/2025)

Yuhan Liao, Xinhua Chen, Shupeng Hu, Bing Chen, Xinghua Zhuo, Hao Xu, Xiaojin Wu, Xiaofeng Zeng, Huimin Zeng, Donghui Zhang, Yunfei Zhi, Liang Zhao

Advanced Science· Volume 12· Issue 10

Abstract

Gastric Cancer Diagnostics The frontispiece design centers on a Phoenix, symbolizing rebirth and transformation, reflecting HER2Net's groundbreaking impact on gastric cancer diagnostics. The pink and purple parts of the tail feathers reflect H&E pathological slide images, and the brown sections of the tail feathers symbolize HER2Net's capability to predict HER2 status based on these H&E image, showcasing its precision and integration of AI in medical technology. More details can be found in article number 2408451 by Liang Zhao and co-workers.
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Research context

OpenAlex topics: AI in cancer detection · Radiomics and Machine Learning in Medical Imaging

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