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

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 psychiat...

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Veröffentlicht in:	bioRxiv
Hauptverfasser:	Yamaguchi, Hiroyuki, Hashimoto, Yuki, Sugihara, Genichi, Miyata, Jun, Murai, Toshiya, Takahashi, Hidehiko, Honda, Manabu, Hishimoto, Akitoyo, Yamashita, Yuichi
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Cold Spring Harbor Cold Spring Harbor Laboratory Press 25.08.2020 Cold Spring Harbor Laboratory
Ausgabe:	1.1
Schlagworte:	Magnetic resonance imaging Mental disorders Neuroimaging Neuroscience Schizophrenia
ISSN:	2692-8205, 2692-8205
Online-Zugang:	Volltext
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