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

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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Bibliographic Details
Main Authors: Abdullah A. Asiri, Ahmad Shaf, Tariq Ali, Muhammad Ahmad Pasha, Muhammad Aamir, Muhammad Irfan, Saeed Alqahtani, Ahmad Joman Alghamdi, Ali H. Alghamdi, Abdullah Fahad A. Alshamrani, Magbool Alelyani, Sultan Alamri
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
brain tumor classification
pre-trained ViT
fine-tuning
medical image analysis
cutting-edge models
Online Access:https://www.mdpi.com/1424-8220/23/18/7913

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https://www.mdpi.com/1424-8220/23/18/7913

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