Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models

This paper presents a comprehensive study on the classification of brain tumor images using five pre-trained vision transformer (ViT) models, namely R50-ViT-l16, ViT-l16, ViT-l32, ViT-b16, and ViT-b32, employing a fine-tuning approach. The objective of this study is to advance the state-of-the-art i...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535333/
https://www.ncbi.nlm.nih.gov/pubmed/37765970
http://dx.doi.org/10.3390/s23187913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535333/
https://www.ncbi.nlm.nih.gov/pubmed/37765970
http://dx.doi.org/10.3390/s23187913

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