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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuting Zhang Yue Chen |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Computer Science, Zhejiang University, Hangzhou, China (Yuting Zhang; Yue Chen) |
| Abstract | 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. |
| Starting Page | 365 |
| Ending Page | 370 |
| File Size | 442901 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424493517 |
| e-ISBN | 9781424493524 |
| DOI | 10.1109/BMEI.2011.6098259 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Training Shape Magnetic resonance imaging Semantics brain MRI Medical services Vectors image features image matching revelance feedback |
| Content Type | Text |
| Resource Type | Article |
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