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

Allergy & Immunology Dermatology Gastroenterology Hematology Oncology/Hematology
Journal: Frontiers in medicine
Published Date: Jan 1, 2025

Abstract

OBJECTIVE: In 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 the mouse stomach represents a diagnostic challenge for toxicopathologists. This study aims to establish a detection model for mouse gastric squamous cell carcinoma (GSCC) using deep learning algorithms, to improve the accuracy and consistency of pathological diagnoses.

Authors

  • Yuke Ren
    National Institutes for Food and Drug Control, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Shuangxing Li
    National Center for Safety Evaluation of Drugs, State Key Laboratory of Drug Regulatory Science, National Institutes for Food and Drug Control, Beijing, China.
  • Di Zhang
    College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
  • Yongtian Zhao
    Indica Labs, Inc., Albuquerque, NM, United States.
  • Yanwei Yang
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Guitao Huo
    National Center for Safety Evaluation of Drugs, State Key Laboratory of Drug Regulatory Science, National Institutes for Food and Drug Control, Beijing, China.
  • Xiaobing Zhou
    School of Information Science and Engineering, Yunnan University, Kunming, China. [email protected].
  • Xingchao Geng
    Institute for Biological Product Control, National Institutes for Food and Drug Control, Beijing, China.
  • Zhi Lin
    National Center for Safety Evaluation of Drugs, State Key Laboratory of Drug Regulatory Science, National Institutes for Food and Drug Control, Beijing, China.
  • Zhe Qu
    National Center for Safety Evaluation of Drugs, State Key Laboratory of Drug Regulatory Science, National Institutes for Food and Drug Control, Beijing, China.

Keywords

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