兰州大学学报（医学版）2025，Vol.51Issue(11)：81-87,7.DOI:10.13885/j.issn.2097-681X.2025.11.012
深度学习在子宫内膜癌影像诊断中的研究进展
Progress in research on deep learning in the imaging diagnosis of endometrial cancer
摘要
Abstract
The incidence of endometrial cancer continues to rise,and endometrial cancer exhibits significant heterogeneity.Existing imaging staging and pathological evaluation still have limitations in terms of subjectiv-ity,cross-center consistency and the clinical application of molecular typing.In recent years,deep learning with the continuous development of artificial intelligence,has become a research hotspot in interdisciplinary cooperation.With its end-to-end modeling ability,it can automatically extract high-dimensional features and integrate multimodal information,presenting high application potentials in lesion recognition,myometrial invasion evaluation and molecular typing prediction.This paper aims to summarize the research progress of deep learning in multimodal imaging diagnosis of endometrial cancer,outline its key technical pathways and clinical application prospects,and provide a reference for promoting the development of endometrial cancer diagnosis toward automation,precision,and individualization.关键词
子宫内膜癌/深度学习/影像诊断/图像识别/组织病理学/肿瘤微环境/分子分型/临床转化Key words
endometrial cancer/deep learning/diagnostic imaging/image recognition/histopathology/tumor microenvironment/molecular subtyping/clinical translation分类
医药卫生引用本文复制引用
雷婷,杨子,刘畅,曹梦祯,李君芬,许云鹏,蒋沛橦,刘彬棋,姚广,梁天虎,赵俊贤..深度学习在子宫内膜癌影像诊断中的研究进展[J].兰州大学学报（医学版）,2025,51(11):81-87,7.基金项目
国家自然科学基金资助项目(82360303) （82360303）
甘肃省自然科学基金资助项目(22JR5RA897) （22JR5RA897）
甘肃省科技计划(重点研发计划)资助项目(20YF2FA006) （重点研发计划）
甘肃省高校研究生"创新之星"资助项目(2025CXZX-207) （2025CXZX-207）
兰州大学第一医院院内基金资助项目(ldyyyn2022-37) （ldyyyn2022-37）
兰州大学校创基金资助项目(20250060190,20250060061) （20250060190,20250060061）
