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人工智能在胃癌数字病理图像中的应用进展

王芊文 阎红琳 袁静萍

临床与实验病理学杂志2026,Vol.42Issue(3):351-355,5.
临床与实验病理学杂志2026,Vol.42Issue(3):351-355,5.DOI:10.13315/j.cnki.cjcep.2026.03.010

人工智能在胃癌数字病理图像中的应用进展

Progress of artificial intelligence in digital pathology images of gastric cancer

王芊文 1阎红琳 1袁静萍1

作者信息

  • 1. 武汉大学人民医院病理科,武汉 430060
  • 折叠

摘要

Abstract

Gastric cancer is a malignant tumour with high global morbidity and mortality rates,and early diagno-sis is crucial for improving patient prognosis.However,traditional diagnosis of gastric cancer mainly relies on patholo-gists observing tissue sections under a microscope,a method whose diagnostic accuracy and efficiency are difficult to ensure when faced with a large number of pathological sections.In recent years,with the development of digital pathol-ogy(DP)and artificial intelligence(AI),the combination of digital pathological images and AI models has provided new ideas for the early diagnosis of gastric cancer.This paper reviews the progress of AI application in DP images of gastric cancer,including gastric cancer image analysis,pathological typing,etc.It aims to provide new ideas and ref-erences for pathologists in the early diagnosis of gastric cancer,and to improve diagnostic efficiency and accuracy.

关键词

胃癌/人工智能/数字病理/文献综述

Key words

gastric cancer/artificial intelligence/digital pathology/literature review

分类

医药卫生

引用本文复制引用

王芊文,阎红琳,袁静萍..人工智能在胃癌数字病理图像中的应用进展[J].临床与实验病理学杂志,2026,42(3):351-355,5.

基金项目

湖北省自然科学基金(2121CFB383)、武汉大学人民医院第六轮青年重点人才项目(RMQNZD2024046) Natural Science Foundation of Hubei Province(2121CFB383) (2121CFB383)

Wuhan University People's Hospi-tal Sixth Round of Young Key Talent Project(RMQNZD2024046) (RMQNZD2024046)

临床与实验病理学杂志

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