Title :
SPECT image classification using random forests
Author :
Ramirez, J. ; Górriz, J.M. ; Chaves, R. ; López, M. ; Salas-Gonzalez, D. ; Alvarez, Ines ; Segovia, F.
Author_Institution :
Dept. of Signal Theor., Networking & Commun., Univ. of Granada, Granada
Abstract :
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.
Keywords :
correlation methods; diseases; feature extraction; image classification; learning (artificial intelligence); mean square error methods; medical image processing; single photon emission computed tomography; Alzheimer disease; SPECT image classification; computer aided diagnosis system; feature correlation weighting; feature extraction; feature selection; random forest image classification; t-test; voxel-based normalised mean square error method;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2009.1111
