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SPECT image classification using random forests

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7 Author(s)
J. Ramirez ; (Department of Signal Theory, Networking and Communications, University of Granada, Spain) E-mail: javierrp@ugr.es ; J. M. Gorriz ; R. Chaves ; M. Lopez
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A novel computer aided diagnosis system for the early diagnosis of Alzheimer's disease (AD) is presented. The system consists of voxel-based normalised mean square error feature extraction, a t-test with feature correlation weighting for feature selection and random forest image classification. The proposed method yields an up to 96% classification accuracy, thus outperforming recent developed methods for early AD diagnosis.

Published in:

Electronics Letters  (Volume:45 ,  Issue: 12 )