Application of deep learning convolutional neural networks to identify gastric squamous cell carcinoma in mice

Application of deep learning convolutional neural networks to identify gastric squamous cell carcinoma in mice

ObjectiveIn non-clinical safety evaluation of drugs, pathological result is one of the gold standards for determining toxic effects. However, pathological diagnosis might be challenging and affected by pathologist expertise. In carcinogenicity studies, drug-induced squamous cell carcinoma (SCC) of t...

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Bibliographic Details
Main Authors: Yuke Ren, Shuangxing Li, Di Zhang, Yongtian Zhao, Yanwei Yang, Guitao Huo, Xiaobing Zhou, Xingchao Geng, Zhi Lin, Zhe Qu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Medicine
Subjects:
non-clinical safety evaluation of drugs
toxicological pathology
artificial intelligence
deep learning
gastric squamous cell carcinoma
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1587417/full
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