A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization.

Morshid, Ali; Elsayes, Khaled M; Khalaf, Ahmed M; Elmohr, Mohab M; Yu, Justin; Kaseb, Ahmed O; Hassan, Manal; Mahvash, Armeen; Wang, Zhihui; Hazle, John D; Fuentes, David

Morshid, Ali; Elsayes, Khaled M; Khalaf, Ahmed M; Elmohr, Mohab M; Yu, Justin; Kaseb, Ahmed O; Hassan, Manal; Mahvash, Armeen; Wang, Zhihui; Hazle, John D; Fuentes, David.

Afiliación

Morshid A; Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Elsayes KM; Departments of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Khalaf AM; Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Elmohr MM; Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yu J; Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Kaseb AO; Departments of Gastrointestinal Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Hassan M; Departments of Gastrointestinal Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Mahvash A; Departments of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Wang Z; Departments of Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Hazle JD; Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Fuentes D; Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Radiol Artif Intell ; 1(5)2019 Sep.

Article en En | MEDLINE | ID: mdl-31858078

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Radiol Artif Intell Año: 2019 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google