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Two approaches to selecting set of voxels for the diagnosis of Alzheimerʼs disease using brain SPECT images
- Source :
- Digital Signal Processing. 21:746-755
- Publication Year :
- 2011
- Publisher :
- Elsevier BV, 2011.
-
Abstract
- This paper presents a computer-aided diagnosis technique for improving the accuracy of the early diagnosis of the Alzheimer type dementia. The first proposed methodology is based on the selection of those voxels which present a greater difference between Controls and Alzheimer type dementia patients. The mean value of the intensities of the selected voxels is used as features for different classifiers. The proposed methodology reaches an accuracy of 89% in the classification task. A second criterion is chosen to select voxels based on considering those which present not only greater overall difference between both modalities (Controls and Alzheimer) but also present lower dispersion. The classification accuracy using this second condition increases to 94%.
- Subjects :
- business.industry
Computer science
Applied Mathematics
Mean value
Pattern recognition
Alzheimer type dementia
computer.software_genre
Set (abstract data type)
Computational Theory and Mathematics
Artificial Intelligence
Computer-aided diagnosis
Voxel
mental disorders
Signal Processing
Computer vision
Computer Vision and Pattern Recognition
Artificial intelligence
Electrical and Electronic Engineering
Statistics, Probability and Uncertainty
business
computer
Subjects
Details
- ISSN :
- 10512004
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- Digital Signal Processing
- Accession number :
- edsair.doi...........40e8ed8480efc8f34313ea044ee86471