Radiomics and deep learning models to differentiate lung adenosquamous carcinoma: A multicenter trial.

Chu, Xianjing; Niu, Lishui; Yang, Xianghui; He, Shiqi; Li, Aixin; Chen, Liu; Liang, Zhan; Jing, Di; Zhou, Rongrong

Chu, Xianjing; Niu, Lishui; Yang, Xianghui; He, Shiqi; Li, Aixin; Chen, Liu; Liang, Zhan; Jing, Di; Zhou, Rongrong.

Afiliación

Chu X; Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China.
Niu L; Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China.
Yang X; Department of Oncology, Changsha Central Hospital, Changsha 410004, China.
He S; Department of Computer Science, University of British Columbia, 2329 West Mall, Vancouver, British Columbia, Canada.
Li A; Department of Radiotherapy, The First Affiliated Hospital, Hengyang Medical School, University of South, Hengyang 421001, China.
Chen L; Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China.
Liang Z; Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China.
Jing D; Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China.
Zhou R; Department of Oncology, Xiangya Hospital, Central South University, Changsha 410008, China.

iScience ; 26(9): 107634, 2023 Sep 15.

Article en En | MEDLINE | ID: mdl-37664612

Palabras clave

Cancer; Computational bioinformatics; Health informatics; Health sciences; Oncology

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: IScience Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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