Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. PP; no. 11; pp. 1 - 18
• Main Authors: Hu, Yao, Huang, Zhi-An, Liu, Rui, Xue, Xiaoming, Sun, Xiaoyan, Song, Linqi, Tan, Kay Chen
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Attention deficit/hyperactivity disorder; autism spectrum disorder; CAI; Computational modeling; Computer assisted instruction; computer-aided diagnosis; Datasets; Deep learning; Diagnosis; domain shift; Functional magnetic resonance imaging; Health care; Health services; Knowledge management; Labels; Medical diagnostic imaging; Medical imaging; Mental disorders; Neuroimaging; Semi-supervised learning; semi-supervised transfer learning; Solid modeling; source free; Training

The high prevalence of mental disorders gradually poses a huge pressure on the public healthcare services. Deep learning-based computer-aided diagnosis (CAD) has emerged to relieve the tension in healthcare institutions by detecting abnormal neuroimaging-derived phenotypes. However, training deep le...