Boosting diagnosis accuracy of Alzheimers disease using high dimensional recognition of longitudinal brain atrophy patterns
Objective: Boosting accuracy in automatically discriminating patients with Alzheimer's disease (AD) and normal controls (NC), based on multidimensional classification of longitudinal whole brain atrophy rates and their intermediate counterparts in analyzing magnetic resonance images (MRI). Meth...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43965/1/Boosting%20diagnosis%20accuracy%20of%20Alzheimers%20disease%20using%20high%20dimensional%20recognition%20of%20longitudinal%20brain%20atrophy%20patterns.pdf http://psasir.upm.edu.my/id/eprint/43965/ https://www.sciencedirect.com/science/article/pii/S0166432815002521 |
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http://psasir.upm.edu.my/id/eprint/43965/1/Boosting%20diagnosis%20accuracy%20of%20Alzheimers%20disease%20using%20high%20dimensional%20recognition%20of%20longitudinal%20brain%20atrophy%20patterns.pdfhttp://psasir.upm.edu.my/id/eprint/43965/
https://www.sciencedirect.com/science/article/pii/S0166432815002521