基于深度学习的人工智能在病理诊断的应用进展与展望  

Application and Development of Artificial Intelligence Based on Deep Learning in Pathological Diagnosis

作　　者：张世豪[1] 冼丽英[1] 高敏[1] 陈志晓 ZHANG Shihao;XIAN Liying;GAO Min(The People’s Hospital of Dongguan City,Dongguan 523059,China)

机构地区：[1]广东省东莞市人民医院,广东东莞523059 [2]广东工业大学计算机学院

出　　处：《中国医学创新》2018年第25期130-133,共4页Medical Innovation of China

基　　金：国家自然科学基金委员会资助项目(81702399)

摘　　要：卫生服务需求与医疗卫生资源之间的矛盾使得传统医疗手段和看病模式不能满足社会发展需要。目前,基于深度学习的人工智能已经影响了病理学以及与其相关的行业的工作模式。本文回顾基于深度学习的人工智能在病理学诊断的应用进展,并简要分析这一方面的发展,以期起到抛砖引玉的作用。The contradiction between health service demand and medical and health resources makes traditional medical treatment and medical model unable to meet the needs of social development.At present,artificial intelligence based on deep learning has affected the work mode of pathology and related industries.This paper reviews the progress in the application of artificial intelligence based on deep learning in the diagnosis of Pathology,and gives a brief analysis of the development of this aspect in order to play the role of throwing bricks into jade.

关 键 词：深度学习 人工智能 机器学习 图像识别 人工神经网络 病理诊断 

分 类 号：R36[医药卫生—病理学] TP18[医药卫生—基础医学]