Article

Three-dimensional convolutional autoencoder extracts features of structural brain images with a “diagnostic label-free” approach: Application to schizophrenia datasets

2020-08-25

Abstract excerpt

<h4>ABSTRACT</h4> 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 investigate the efficacy of a 3D convolutional aut...

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Literature Corpus work: 928e7d08-739b-56c9-b057-30eb95dbbd86
DOI: 10.1101/2020.08.24.213447

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Three-dimensional convolutional autoencoder extracts features of structural brain images with a “diagnostic label-free” approach: Application to schizophrenia datasetsDOI 10.1101/2020.08.24.213447Read

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