Using Edge Detection Methods to Resolve A Partial Volume Problem for Magnetic Resonance Brain Imaging
碩士 === 國立中興大學 === 通訊工程研究所 === 100 === Support vector machine (SVM) has found great promise in magnetic resonance analysis recently. It works effectively depend on choosing proper parameter and kernel. However, there are two major challenge issues in SVM classification. One is the random select of tr...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2012
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Online Access: | http://ndltd.ncl.edu.tw/handle/69639064835210884426 |