Classification Framework for Medical Diagnosis of Brain Tumor with an Effective Hybrid Transfer Learning Model.

Samee, Nagwan Abdel; Mahmoud, Noha F; Atteia, Ghada; Abdallah, Hanaa A; Alabdulhafith, Maali; Al-Gaashani, Mehdhar S A M; Ahmad, Shahab; Muthanna, Mohammed Saleh Ali

Samee, Nagwan Abdel; Mahmoud, Noha F; Atteia, Ghada; Abdallah, Hanaa A; Alabdulhafith, Maali; Al-Gaashani, Mehdhar S A M; Ahmad, Shahab; Muthanna, Mohammed Saleh Ali.

Afiliación

Samee NA; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Mahmoud NF; Rehabilitation Sciences Department, Health and Rehabilitation Sciences College, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Atteia G; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Abdallah HA; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Alabdulhafith M; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
Al-Gaashani MSAM; College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Ahmad S; School of Economics & Management, Chongqing University of Post and Telecommunication, Chongqing 400065, China.
Muthanna MSA; Institute of Computer Technologies and Information Security, Southern Federal University, 347922 Taganrog, Russia.

Diagnostics (Basel) ; 12(10)2022 Oct 20.

Article en En | MEDLINE | ID: mdl-36292230

Palabras clave

a brain tumor; deep learning; hybrid transfer learning; machine learning; magnetic resonance imaging

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Screening_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Arabia Saudita

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