The Role of Radiomics and AI Technologies in the Segmentation, Detection, and Management of Hepatocellular Carcinoma.

Fahmy, Dalia; Alksas, Ahmed; Elnakib, Ahmed; Mahmoud, Ali; Kandil, Heba; Khalil, Ashraf; Ghazal, Mohammed; van Bogaert, Eric; Contractor, Sohail; El-Baz, Ayman

Fahmy, Dalia; Alksas, Ahmed; Elnakib, Ahmed; Mahmoud, Ali; Kandil, Heba; Khalil, Ashraf; Ghazal, Mohammed; van Bogaert, Eric; Contractor, Sohail; El-Baz, Ayman.

Afiliación

Fahmy D; Diagnostic Radiology Department, Mansoura University Hospital, Mansoura 35516, Egypt.
Alksas A; Bioengineering Department, University of Louisville, Louisville, KY 40292, USA.
Elnakib A; Bioengineering Department, University of Louisville, Louisville, KY 40292, USA.
Mahmoud A; Bioengineering Department, University of Louisville, Louisville, KY 40292, USA.
Kandil H; Bioengineering Department, University of Louisville, Louisville, KY 40292, USA.
Khalil A; Faculty of Computer Sciences and Information, Mansoura University, Mansoura 35516, Egypt.
Ghazal M; College of Technological Innovation, Zayed University, Abu Dhabi 4783, United Arab Emirates.
van Bogaert E; Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates.
Contractor S; Department of Radiology, University of Louisville, Louisville, KY 40202, USA.
El-Baz A; Department of Radiology, University of Louisville, Louisville, KY 40202, USA.

Cancers (Basel) ; 14(24)2022 Dec 12.

Article en En | MEDLINE | ID: mdl-36551606

Palabras clave

AI; computed tomography; deep learning; hepatocellular carcinoma; machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Egipto Pais de publicación: Suiza

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