Degree of contribution (DoC) feature selection algorithm for structural brain MRI volumetric features in depression detection
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
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Society for Computer Aided Surgery (ISCAS)
2015
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/11960/1/No%208%20%28abstrak%29.pdf http://ir.unimas.my/id/eprint/11960/ http://www.cars-int.org/cars_journal/journal_of_cars.html |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |
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