Transformer's role in brain MRI: a sco** review

M Hayat, S Aramvith - IEEE Access, 2024 - ieeexplore.ieee.org
Magnetic Resonance Imaging (MRI) is a critical imaging technique that provides detailed
visualization of internal structures without harmful radiation. This review focuses on key MRI …

Vision Transformer Approaches for COVID-19 Pneumonia Assessment in Lung Ultrasound Images

MC Fiorentino, R Rosati, A Melnic… - … on Metrology for …, 2024 - ieeexplore.ieee.org
In recent years, Convolutional Neural Networks (CNNs) have been at the forefront of
advancements in medical imaging, particularly in the classification of disease severity from …

Machine Learning Technique for Brain Tumor Detection: A Comprehensive Review

K Dubey, P Chouksey, P Sadotra… - Milestone Transactions …, 2025 - milestoneresearch.in
Detecting diseases in the brain at early stages or proper diagnosis and treatment of tumor in
the brain are perhaps the biggest challenges facing medical sciences. New advancement in …

[PDF][PDF] Ensemble deep learning of CNN vs vision transformers for brain lesion classification on MRI images

N Laribi, D Gaceb, F Touazi, A Rezoug, A Sahad… - 2024 - ceur-ws.org
Deep learning models, such as Convolutional Neural Networks (CNNs) and Vision
Transformers (ViTs), have achieved state-of-the-art performance in the classification of brain …