DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network

DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network

Non-invasive whole-brain scans aid the diagnosis of neuropsychiatric disorder diseases such as autism, dementia, and brain cancer. The assessable analysis for autism spectrum disorders (ASD) is rationally challenging due to the limitations of publicly available datasets. For diagnostic or prognostic...

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Bibliographic Details
Main Authors: Md Shale Ahammed, Sijie Niu, Md Rishad Ahmed, Jiwen Dong, Xizhan Gao, Yuehui Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Neuroinformatics
Subjects:
autism spectrum disorder
fMRI
neuroimaging
image processing
deep learning
DarkASDNet
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2021.635657/full

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