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Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models.
Asiri, Abdullah A; Shaf, Ahmad; Ali, Tariq; Pasha, Muhammad Ahmad; Aamir, Muhammad; Irfan, Muhammad; Alqahtani, Saeed; Alghamdi, Ahmad Joman; Alghamdi, Ali H; Alshamrani, Abdullah Fahad A; Alelyani, Magbool; Alamri, Sultan.
Afiliación
  • Asiri AA; Radiological Sciences Department, College of Applied Medical Sciences, Najran University, Najran 61441, Saudi Arabia.
  • Shaf A; Department of Computer Science, COMSATS University Islamabad Sahiwal Campus, Sahiwal 57000, Pakistan.
  • Ali T; Department of Computer Science, COMSATS University Islamabad Sahiwal Campus, Sahiwal 57000, Pakistan.
  • Pasha MA; Department of Computer Science, COMSATS University Islamabad Sahiwal Campus, Sahiwal 57000, Pakistan.
  • Aamir M; Department of Computer Science, COMSATS University Islamabad Sahiwal Campus, Sahiwal 57000, Pakistan.
  • Irfan M; Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia.
  • Alqahtani S; Radiological Sciences Department, College of Applied Medical Sciences, Najran University, Najran 61441, Saudi Arabia.
  • Alghamdi AJ; Radiological Sciences Department, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.
  • Alghamdi AH; Department of Radiological Sciences, Faculty of Applied Medical Sciences, The University of Tabuk, Tabuk 47512, Saudi Arabia.
  • Alshamrani AFA; Department of Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Madinah 41477, Saudi Arabia.
  • Alelyani M; Department of Radiological Sciences, College of Applied Medical Science, King Khalid University, Abha 61421, Saudi Arabia.
  • Alamri S; Radiological Sciences Department, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia.
Sensors (Basel) ; 23(18)2023 Sep 15.
Article en En | MEDLINE | ID: mdl-37765970
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Suiza