Deep Learning Methods for Autism Spectrum Disorder Diagnosis Based on fMRI Images
نویسندگان
چکیده
Brain injuries are significant disorders affecting human life. Some of these damages can be completely eliminated by methods such as drug therapy. On the other hand, there is no known permanent treatment for caused diseases Alzheimer, Autism spectrum disorder (ASD), Multiple sclerosis and Parkinson. Treatments aimed at slowing progression disease generally applied in types disorders. For this reason, essential to diagnose an early phase before behavioral occur. In study, a study presented detect ASD through resting-state functional magnetic resonance imaging rs-fMRI. However, fMRI data highly complex data. Within study's scope, healthy individuals were distinguished on 871 samples obtained from ABIDE I set. The long short-term memory network (LSTM), convolutional neural (CNN) , hybrid models used together classification process. results promising detection fMRI.
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ژورنال
عنوان ژورنال: Sakarya university journal of computer and information sciences
سال: 2021
ISSN: ['2636-8129']
DOI: https://doi.org/10.35377/saucis.04.01.879735