Biblioteca Humberto Rosselli Quijano
Información del autor
Autor Chao Li |
Documentos disponibles escritos por este autor (1)
Refinar búsqueda
Consistent brain structural abnormalities and multisite individualised classification of schizophrenia using deep neural networks / Yue Cui en The British Journal of Psychiatry, Año 2022 - Vol. 221 - No. 6 (Diciembre)
[artículo]
Título : Consistent brain structural abnormalities and multisite individualised classification of schizophrenia using deep neural networks Tipo de documento: texto impreso Autores: Yue Cui, Autor ; Chao Li, Autor ; Bing Liu, Autor Fecha de publicación: 2023 Artículo en la página: pp. 732 - 739 Idioma : Inglés (eng) Idioma original : Inglés (eng) Palabras clave: Aprendizaje profundo, Materia gris, Metanálisis, Estudio multisitio, Esquizofrenia Resumen: Previous analyses of grey and white matter volumes have reported that schizophrenia is associated with structural changes. Deep learning is a data-driven approach that can capture highly compact hierarchical non-linear relationships among high-dimensional features, and therefore can facilitate the development of clinical tools for making a more accurate and earlier diagnosis of schizophrenia. Link: ./index.php?lvl=notice_display&id=29953
in The British Journal of Psychiatry > Año 2022 - Vol. 221 - No. 6 (Diciembre) . - pp. 732 - 739[artículo] Consistent brain structural abnormalities and multisite individualised classification of schizophrenia using deep neural networks [texto impreso] / Yue Cui, Autor ; Chao Li, Autor ; Bing Liu, Autor . - 2023 . - pp. 732 - 739.
Idioma : Inglés (eng) Idioma original : Inglés (eng)
in The British Journal of Psychiatry > Año 2022 - Vol. 221 - No. 6 (Diciembre) . - pp. 732 - 739
Palabras clave: Aprendizaje profundo, Materia gris, Metanálisis, Estudio multisitio, Esquizofrenia Resumen: Previous analyses of grey and white matter volumes have reported that schizophrenia is associated with structural changes. Deep learning is a data-driven approach that can capture highly compact hierarchical non-linear relationships among high-dimensional features, and therefore can facilitate the development of clinical tools for making a more accurate and earlier diagnosis of schizophrenia. Link: ./index.php?lvl=notice_display&id=29953