3D FRN-ResNet: An Automated Major Depressive Disorder Structural Magnetic Resonance Imaging Data Ide...
3D FRN-ResNet: An Automated Major Depressive Disorder Structural Magnetic Resonance Imaging Data Identification Framework
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Full title
Author / Creator
Hong, Jialin , Huang, Yueqi , Ye, Jianming , Wang, Jianqing , Xu, Xiaomei , Wu, Yan , Li, Yi , Zhao, Jialu , Li, Ruipeng , Kang, Junlong and Lai, Xiaobo
Publisher
Switzerland: Frontiers Research Foundation
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: Frontiers Research Foundation
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Scope and Contents
Contents
Major Depressive Disorder (MDD) is the most prevalent psychiatric disorder, seriously affecting people’s quality of life. Manually identifying MDD from structural magnetic resonance imaging (sMRI) images is laborious and time-consuming due to the lack of clear physiological indicators. With the development of deep learning, many automated identific...
Alternative Titles
Full title
3D FRN-ResNet: An Automated Major Depressive Disorder Structural Magnetic Resonance Imaging Data Identification Framework
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Record Identifier
TN_cdi_proquest_journals_2663791044
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2663791044
Other Identifiers
ISSN
1663-4365
E-ISSN
1663-4365
DOI
10.3389/fnagi.2022.912283
