Research on neural network analysis of MRI images of the brain for the diagnosis of brain diseases

Abstract

This study presents a deep learning-based approach for MRI brain disease diagnosis using TransUNet, integrating CNNs, Vision Transformers, and Explainable AI techniques. The proposed system enhances segmentation accuracy and interpretability, bridging the gap between AI research and clinical application