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  • Classification of ADHD Using Ensemble Algorithms with Deep Learning and Hand Crafted Features 

    Authors:Çiçek, Gülay; Çevik, Mesut; Akan, Aydın
    Publisher and Date:(IEEE, 2019)
    Attention Deficit Hyperactivity (ADHD) is a common neurodevelopmental disorder that typically appears in early childhood. Methods developed for diagnosing gives different results at different times. This is a major obstacle in the diagnosis of disease. Diagnosis model of ADHD must be unique, objective, and reliable. In this study, comparative evaluations of both manual and deep features for classification of structural magnetic resonance images is presented. For this purpose, datasets of NPIstanbul ...