Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Classification of brain disease from magnetic resonance images based on multi-level brain partitions | |
Li T(李涛)![]() ![]() | |
2017 | |
会议名称 | IEEE Engineering in Medicine and Biology Society |
会议录名称 | Biomedical Imaging & Image Processing |
会议日期 | August 16-20, 2016 |
会议地点 | Orlando, Florida, USA |
摘要 |
In this paper, we present a classification method based on the multi-level brain partitions. Bag-of-visual-words model is used. Firstly, the representative SIFT features are extracted from brain template as the basic visual words. Secondly, individual MR images are described using the basic visual words and support vector machine classifiers are trained for different brain partitions respectively. Thirdly, the final classification is derived from the combination of multiple classifiers. We apply this method to MR images of Alzheimer's disease and Parkinson's disease. The results demonstrate that the multi-level partitions favors the classification accuracy of brain disease from MR images. |
关键词 | Brain Disease Classification |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/12807 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Wensheng Zhang |
作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Li T,Wensheng Zhang. Classification of brain disease from magnetic resonance images based on multi-level brain partitions[C],2017. |
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