Automated sMRI-based depression detection system is developed whose components include acquisition and preprocessing, feature extraction, feature selection, and classification. The core focus of the research is on the establishment of a new feature selection algorithm that quantifies the most relevant brain volumetric feature for depression detection at an individual level.
Field of Research
090399 Biomedical Engineering not elsewhere classified 080106 Image Processing 090609 Signal Processing
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