AI RESEARCH
Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
arXiv CS.AI
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ArXi:2606.00180v1 Announce Type: cross Deep learning-based Major Depressive Disorder (MDD) detection using Electroencephalography (EEG) is fundamentally constrained by the "small-sample dilemma." Prevailing generative data augmentation methods not only incur heavy computational overhead but also risk Keywords: Electroencephalography (EEG), Depression Detection, Anomaly Score, Diffusion Models, Few-Shot Learning