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 |
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| 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 Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Saman |
| Date Deposited: | 09 May 2016 02:27 |
| Last Modified: | 04 Apr 2023 01:38 |
| URI: | http://ir.unimas.my/id/eprint/11960 |
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