Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map.

Naguib, Soaad M; Hamza, Hanaa M; Hosny, Khalid M; Saleh, Mohammad K; Kassem, Mohamed A

Naguib, Soaad M; Hamza, Hanaa M; Hosny, Khalid M; Saleh, Mohammad K; Kassem, Mohamed A.

Afiliación

Naguib SM; Department of Information Systems, Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Egypt.
Hamza HM; Department of Information Technology, Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Egypt.
Hosny KM; Department of Information Technology, Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Egypt.
Saleh MK; Department of Orthopedic Surgery, Faculty of Medicine, Zagazig University, Zagazig 44519, Egypt.
Kassem MA; Department of Robotics and Intelligent Machines, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh 33516, Egypt.

Diagnostics (Basel) ; 13(7)2023 Mar 28.

Article en En | MEDLINE | ID: mdl-37046491

Palabras clave

X-ray; cervical spine dislocation; cervical spine fractures; computer aided-diagnosis system; deep learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Egipto

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