Utilizing fMRI and Deep Learning for the Detection of Major Depressive Disorder: A MobileNet V2 Approach
Author:
Affiliation:
1. Eastern Mediterranean University,Department of Electrical and Electronic Engineering,Gazimağusa,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10550192/10550449/10550687.pdf?arnumber=10550687
Reference18 articles.
1. The increasing burden of depression
2. Digital phenotyping in depression diagnostics: Integrating psychiatric and engineering perspectives
3. Increased Depression and Anxiety Disorders during the COVID-19 Pandemic in Children and Adolescents: A Literature Review
4. Link to published version: https;Riaz;Lecture Notes in Computer Science,1051
5. DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI
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