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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 "Dia...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a0b0e58f7b44b5485d5dc05fb7df3b1

Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a "Diagnostic Label-Free" Approach: Application to Schizophrenia Datasets

About this item

Full title

Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a "Diagnostic Label-Free" Approach: Application to Schizophrenia Datasets

Publisher

Switzerland: Frontiers Research Foundation

Journal title

Frontiers in neuroscience, 2021-07, Vol.15, p.652987-652987

Language

English

Formats

Publication information

Publisher

Switzerland: Frontiers Research Foundation

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a "Diagnostic Label-Free" Approach: Application to Schizophrenia Datasets

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2a0b0e58f7b44b5485d5dc05fb7df3b1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a0b0e58f7b44b5485d5dc05fb7df3b1

Other Identifiers

ISSN

1662-4548,1662-453X

E-ISSN

1662-453X

DOI

10.3389/fnins.2021.652987

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