Morphological fingerprinting: Identifying patients with first‐episode schizophrenia using auto‐encoded morphological patterns

Although a large number of case–control statistical and machine learning studies have been conducted to investigate structural brain changes in schizophrenia, how best to measure and characterize structural abnormalities for use in classification algorithms remains an open question. In the current s...

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Detalles Bibliográficos
Autores principales: Sun, Huaiqiang, Luo, Guoting, Lui, Su, Huang, Xiaoqi, Sweeney, John, Gong, Qiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842922/
https://www.ncbi.nlm.nih.gov/pubmed/36206321
http://dx.doi.org/10.1002/hbm.26098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842922/
https://www.ncbi.nlm.nih.gov/pubmed/36206321
http://dx.doi.org/10.1002/hbm.26098

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