The use of generative adversarial network and graph convolution network for neuroimaging-based diagnostic classification

The use of generative adversarial network and graph convolution network for neuroimaging-based diagnostic classification

Functional connectivity (FC) obtained from resting-state functional magnetic resonance imaging has been integrated with machine learning algorithms to deliver consistent and reliable brain disease classification outcomes. However, in classical learning procedures, custom-built specialized feature se...

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Bibliographic Details
Main Authors: Huynh, Nguyen, Yan, Da, Ma, Yueen, Wu, Shengbin, Long, Cheng, Sami, Mirza Tanzim, Almudaifer, Abdullateef, Jiang, Zhe, Chen, Haiquan, Dretsch, Michael N., Denney, Thomas S., Deshpande, Rangaprakash, Deshpande, Gopikrishna
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Deep learning
Generative adversarial network
Online Access:https://hdl.handle.net/10356/179759

Internet

https://hdl.handle.net/10356/179759

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