Name
Title | ||
|---|---|---|
Automatic classification of Alzheimer's patients and age-matched healthy subjects using independent component analysis |
Abstract | ||
|---|---|---|
In this paper, we proposed an automated novel method combining independent component analysis and voxel of interest for classification of MRI scans of Alzheimer patients and healthy subjects. The method mainly includes five steps: preprocessing of MR images, segmentation of gray matter of the brain, decomposition using independent component analysis, extraction of voxel of interest, and classification by a support vector machine classifier. The automated method of selection of voxel of interest has no disadvantages of manual voxel of interest, such as labor-intensive and time-consuming. The experimental results indicate that the proposed method is able to provide better classification results than that in some previously related works. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/BMEI.2011.6098235 | BMEI |
Keywords | Field | DocType |
automatic classification,diseases,age-matched healthy subjects,gray matter,image segmentation,support vector machine classifier,independent component analysis,feature extraction,image classification,biomedical mri,mri,decomposition,brain,support vector machines,medical image processing,automated novel method,alzheimer patients,support vector machine,magnetic resonance image | Voxel,Computer vision,Pattern recognition,Segmentation,Computer science,Support vector machine,Feature extraction,Image segmentation,Preprocessor,Artificial intelligence,Independent component analysis,Contextual image classification | Conference |
Volume | Issue | ISBN |
1 | null | 978-1-4244-9351-7 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenlu Yang | 1 | 28 | 7.81 |
| Xiaojuan Li | 2 | 1 | 4.88 |
| Xudong Huang | 3 | 1 | 1.38 |