Matching Algorithm with Relevance Feedback for Brain MRI
Efficiently and accurately matching the MRI of brain in database is very important for doctors to find the similar cases. However the definition of similarity of cases may vary according to different doctors experience. A matching algorithm for brain MRI is presented in this paper, with the semantic label consisting of the number of regions, the size, the location and the shape feature of each region of the MRI of brain. Future more, to adapt doctors preferences, the relevance feedback is taking into consideration to update the weight of each feature and to save the doctors preferences. The testing results show that the algorithm gives a good performance.
image matching brain MRI revelance feedback image features
Yuting Zhang Yue Chen
College of Computer Science Zhejiang University Hangzhou, China
国际会议
上海
英文
365-370
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）