Name
Title | ||
|---|---|---|
Efficient selection of non-redundant features for the diagnosis of Alzheimer'S disease |
Abstract | ||
|---|---|---|
Recently, a large research effort has been made on the development of discriminative techniques for the computer-aided diagnosis (CAD) of both Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) using neuroimages as the main source of information. Often, such systems use the Voxel Intensities (VI) directly as features, and a feature selection procedure is needed in order to tackle the curse of dimensionality. In this paper, we will propose an efficient selection algorithm based on Mutual Information which, unlike the procedures typically used within this research field, is able to avoid the redundancy existing between brain voxels that are typically highly dependent. The proposed approach was able to join a higher amount of relevant information in a feature vector of fixed dimension and, therefore, was able to improve the classification performance attained when using a typical selection procedure. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISBI.2013.6556556 | Biomedical Imaging |
Keywords | Field | DocType |
brain,diseases,feature extraction,medical computing,medical image processing,positron emission tomography,Alzheimer disease diagnosis,CAD,MCI,brain voxel intensity,computer-aided diagnosis,discriminative technique,feature vector,mild cognitive impairment,mutual information,neuroimage,nonredundant feature selection algorithm,positron emission tomography,Alzheimer's Disease,Computer-Aided Diagnosis,Mild Cognitive Impairment,Minimal Redundancy Maximal Relevance,Positron Emission Tomography,Support Vector Machine | Computer vision,Feature vector,Pattern recognition,Feature selection,Computer science,Selection algorithm,Curse of dimensionality,Feature extraction,Redundancy (engineering),Mutual information,Artificial intelligence,Discriminative model | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4673-6456-0 | 2 |
PageRank | References | Authors |
0.38 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Miguel Morgado | 1 | 2 | 0.38 |
| Margarida Silveira | 2 | 109 | 10.48 |
| Jorge S. Marques | 3 | 535 | 67.78 |