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机器学习与深度学习在烟雾病影像学中的研究进展

Research progress of machine learning and deep learning in moyamoya disease imaging

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烟雾病(MMD)是一种病因不明的复杂脑血管疾病.目前主要依靠影像学检查来诊断,随着影像技术的不断发展和人工智能的出现,其对MMD的诊断、鉴别以及危险因素分析作出了巨大贡献.本文重点介绍目前人工智能领域中机器学习与深度学习算法在MMD影像学中的具体应用,并总结分析了此类研究目前所存在的不足及对未来的展望.
Moyamoya disease(MMD)is a complex cerebrovascular disease with unknown etiology.At present,it is mainly diagnosed by imaging examination.With the continuous development of imaging technology and the emergence of artificial intelligence,it has made great contributions to the diagnosis,identification and risk factor analysis of MMD.This paper focuses on the specific application of machine learning and deep learning algorithms in the field of artificial intelligence in the imaging of MMD.This paper summarizes and analyzes the shortcomings of such research at present and the prospects for the future.

artificial intelligencemachine learningdeep learningmoyamoya diseasemedical image

胡哲、张树军、陈雨各、刘尚宽、刘凤丽、陈月芹

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272013 济宁,济宁医学院临床医学院

济宁医学院附属医院医学影像科

人工智能 机器学习 深度学习 烟雾病 医学影像

山东省自然科学基金面上项目济宁市重点研发计划(社会民生类)项目济宁市重点研发计划(医药卫生类)项目

ZR2021MH1092020YXNS0242020YXNS024

2024

临床神经外科杂志
南京医科大学附属脑科医院

临床神经外科杂志

CSTPCD
影响因子:1.019
ISSN:1672-7770
年,卷(期):2024.21(5)