摘要
医用影像存储和检索工作离不开计算机技术。本文通过医学图像检索技术的发展历程、热门算法和应用探索简述了医学图像检索领域中的一些情况。基于内容的医学图像检索技术以及它的延伸基于语义的医学图像检索技术是当今研究热点。结合深度学习、人工神经网络等算法,能优化检索技术,这也是未来这个领域的发展方向。
Medical image storage and retrieval work could not be separated from the computer technology.This paper briefly describes the development,popular algorithms and application in the field of medical image retrieval.Content-Based Image Retrieval and Semantic-Based Image Retrieval have become the current research hotspots.Combining deep learning,artificial neural network and other algorithms to optimize the retrieval technology,this is the future development direction of this field.
作者
王以文
顾政
褚永华
WANG Yiwen;GU Zheng;CHU Yonghua(Department of Clinical Medical Engineering,The Second Affiliated Hospital of Zhejiang University School of Medicine,Hangzhou Zhejiang 310000,China)
出处
《中国医疗设备》
2020年第1期148-150,162,共4页
China Medical Devices
关键词
医学图像
检索技术
特征提取
诊断效率
算法
medical image
retrieval technique
feature extraction
diagnostic efficiency
algorithm