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.
作者
张世豪
冼丽英
高敏
陈志晓
ZHANG Shihao;XIAN Liying;GAO Min(The People’s Hospital of Dongguan City,Dongguan 523059,China)
出处
《中国医学创新》
CAS
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)
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
Deep learning
Artificial intelligence
Machine learning
Image recognition Artificial neural nets
Pathological diagnosis