摘要
本文综述了基于深度学习的医疗影像识别技术的发展历程,介绍了几种用于医疗影像识别的深度模型,并讨论了深度学习在医疗影像增强、医疗影像检测、医疗影像分割以及医疗影像识别四个方面的应用,最后分析了医疗影像识别技术存在的问题及展望。
This paper summarizes the development of medical image recognition technology which was used in deep learning,introduces the depth models for identification of the medical imaging,and discusses the application of medical image enhancement,medical image detection,image segmentation,and medical image recognition used in deep learning,and finally analyzes the existing problems and prospects of medical image recognition technology.
作者
张琦
张荣梅
陈彬
ZHANG Qi;ZHANG Rong-mei;CHEN Bin(School of information technology,Hebei University of Economics and Business,Shijiazhuang Hebei 050061,China)
出处
《河北省科学院学报》
CAS
2020年第3期1-8,共8页
Journal of The Hebei Academy of Sciences
关键词
医疗影像识别
深度学习
图像增强
图像检测
图像分割
Medical image recognition
Deep learning
Image enhancement
Image detection
Image segmentation