摘要
建立一个高效、准确的医学图像检索系统是目前具有挑战性的任务.文中在简述基于内容的医学图像检索模型后,着重探讨和分析了检索模型中图像特征提取、特征选择与融合、相似度匹配、图像预过滤、相关反馈等核心技术和相关算法,以及一些最新的应用.最后对基于内容的医学图像检索技术进行了展望.
It is a challenging task to build an efficient and effective retrieval system for medical images. A comprehensive survey of content based medical image retrieval （CBMIR） techniques is presented in this paper. After a brief introduction of the CBMIR model, five related key techniques such as image feature extraction, feature selection and fusion, similarity matching, image prefiltering and relevance feedback, are deeply analyzed. Some latest applications are also discussed. Finally, some promising research directions about CBMIR are suggested.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2010年第4期569-578,共10页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(60772092)
关键词
基于内容的医学图像检索
特征提取
相似度匹配
语义鸿沟
相关反馈
content-based medical image retrieval
feature extraction
similarity matching
semantic gap
relevance feedback
