Identification of normal and stenotic brain matter from CT perfusion images by using Independent Component Analysis and Support Vector Machine
碩士 === 國立陽明大學 === 生物醫學影像暨放射科學系 === 104 === Background and purpose: Computed tomography (CT) perfusion images are used for the diagnosis of cerebral stenosis or ischemic stroke. Hemodynamic parameter maps can help doctors to identify the regions of normal and abnormal perfusion. It is good for docto...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/68r6c6 |