Deep learning classification of reading disability with regional brain volume features
Deep learning classification of reading disability with regional brain volume features
About this item
Full title
Author / Creator
Publisher
United States: Elsevier Inc
Journal title
Language
English
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Publication information
Publisher
United States: Elsevier Inc
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Scope and Contents
Contents
•Deformation-based deep learning was used to classify reading disability.•Autoencoder pretraining optimized neural network classification accuracy.•Reading disability classification precision (0.75) and recall (0.78) was observed.•Brain regions were differentially predictive of cases and controls.•Classification probability related to non-word and...
Alternative Titles
Full title
Deep learning classification of reading disability with regional brain volume features
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10167676
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10167676
Other Identifiers
ISSN
1053-8119,1095-9572
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2023.120075
