Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a "Dia...
Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a "Diagnostic Label-Free" Approach: Application to Schizophrenia Datasets
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Switzerland: Frontiers Research Foundation
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English
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Switzerland: Frontiers Research Foundation
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There has been increasing interest in performing psychiatric brain imaging studies using deep learning. However, most studies in this field disregard three-dimensional (3D) spatial information and targeted disease discrimination, without considering the genetic and clinical heterogeneity of psychiatric disorders. The purpose of this study was to in...
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Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a "Diagnostic Label-Free" Approach: Application to Schizophrenia Datasets
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TN_cdi_doaj_primary_oai_doaj_org_article_2a0b0e58f7b44b5485d5dc05fb7df3b1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a0b0e58f7b44b5485d5dc05fb7df3b1
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1662-4548,1662-453X
E-ISSN
1662-453X
DOI
10.3389/fnins.2021.652987
