Deep learning classification of reading disability with regional brain volume features
Deep learning classification of reading disability with regional brain volume features
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Publisher
United States: Elsevier Inc
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Language
English
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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...
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Full title
Deep learning classification of reading disability with regional brain volume features
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TN_cdi_doaj_primary_oai_doaj_org_article_0feaa974b02e4dd2a842b5841d8924f2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0feaa974b02e4dd2a842b5841d8924f2
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2023.120075
