深度学习在脑肿瘤MRI图像诊断中的研究进展
Research Progress of Deep Learning in MRI Image Diagnosis of Brain Tumors
摘要
Abstract
Brain tumors are highly fatal neurological diseases,for which precise diagnosis is crucial to improving prognosis.Traditional imaging techniques are often limited in detecting small lesions,characterizing tumor heterogeneity,and facilitating quantitative analysis.Deep learning technology provides crucial technical support for overcoming such limitations.This paper systematically reviews deep learning research and applications in brain tumor diagnosis.Firstly,widely used public datasets are summarized,and key evaluation metrics along with their clinical significance are outlined.Secondly,the review focuses on three core tasks.For tumor detection,it systematically compares two-stage and one-stage approaches.For tumor segmentation,it summarizes methods based on 2D slices,3D volumes,and multi-contrast sequences.For tumor classification,it analyzes models from single-network and multi-network architectural perspectives.The evolution of mainstream methods is traced,the defining characteristics of different technical routes are highlighted,and the integration strategies and application prospects of large language models in these domains are discussed.Furthermore,the current status of clinical translation for deep learning models is evaluated.Core challenges are analyzed,and potential pathways toward clinical adoption are outlined.Finally,limitations of existing methods are summarized.Future research directions are proposed from three perspectives:data,model improvement,and clinical application.关键词
深度学习/脑肿瘤/核磁共振图像/目标检测/肿瘤分割/肿瘤分类Key words
deep learning/brain tumor/magnetic resonance imaging/object detection/tumor segmentation/tumor classification分类
信息技术与安全科学引用本文复制引用
苏菲,马素芬,生慧,蔡肖红,郭英慧,魏国辉,李小童,徐晟杰..深度学习在脑肿瘤MRI图像诊断中的研究进展[J].计算机科学与探索,2026,20(8):2184-2205,22.基金项目
国家自然科学基金(82074293) （82074293）
山东省自然科学基金面上项目(ZR2022MH203) （ZR2022MH203）
山东省中医药科技项目(2020M005) （2020M005）
山东省研究生教育教学改革研究项目(SDYJSJGC2024063) （SDYJSJGC2024063）
山东中医药大学科学研究基金项目(KYRW2024M02) （KYRW2024M02）
山东中医药大学2025年第一批横向科研项目(JWC2024-042). This work was supported by the National Natural Science Foundation of China(82074293),the General Project of Natural Science Foundation of Shandong Province(ZR2022MH203),the Traditional Chinese Medicine Technology Project of Shandong Province(2020M005),the Postgraduate Education and Teaching Reform Research Project of Shandong Province(SDYJSJGC2024063),the Sci-entific Research Fund of Shandong University of Traditional Chinese Medicine(KYRW2024M02),and the First Batch of Horizontal Scientific Research Projects of Shandong University of Traditional Chinese Medicine in 2025(JWC2024-042). （JWC2024-042）
