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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Detalles Bibliográficos
Autores principales: Yamaguchi, Hiroyuki, Hashimoto, Yuki, Sugihara, Genichi, Miyata, Jun, Murai, Toshiya, Takahashi, Hidehiko, Honda, Manabu, Hishimoto, Akitoyo, Yamashita, Yuichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294943/
https://www.ncbi.nlm.nih.gov/pubmed/34305514
http://dx.doi.org/10.3389/fnins.2021.652987

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294943/
https://www.ncbi.nlm.nih.gov/pubmed/34305514
http://dx.doi.org/10.3389/fnins.2021.652987

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