Degree of contribution (DoC) feature selection algorithm for structural brain MRI volumetric features in depression detection

Kuryati, Kipli and Abbas, Z. Kouzani (2015) Degree of contribution (DoC) feature selection algorithm for structural brain MRI volumetric features in depression detection. International Journal of Computer Assisted Radiology and Surgery, 10 (7). pp. 1003-1016. ISSN 1861-6410

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Abstract

level using structural magnetic resonance imaging (sMRI) remains a challenge. Brain volumetric changes at a structural level appear to have importance in depression biomarkers studies. An automated algorithm is developed to select brain sMRI volumetric features for the detection of depression

Item Type: Article
Uncontrolled Keywords: Feature selection, Ensemble, Depression detection, Brain sMRI data, Volumetric features, Degree of contribution, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Saman
Date Deposited: 09 May 2016 02:27
Last Modified: 21 Feb 2017 01:05
URI: http://ir.unimas.my/id/eprint/11960

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