Degree of contribution (DoC) feature selection algorithm for structural brain MRI volumetric features in depression detection
Accurate detection of depression at an individual 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.
degree of contribution feature selection volumetric features depression detection ensemble brain smri data