Iis Hamsir Ayub Wahab

XAIViT: An Explainable Vision Transformer Framework for Multi-Class Brain Tumor Classification in MRI Images

The proposed XAIViT framework has strong potential as an Explainable Artificial Intelligence (XAI)-based clinical decision support system for MRI-based brain tumor analysis and Gradient-weighted Class Activation Mapping-based visual explanations demonstrated that the model consistently focused on anatomically relevant tumor regions, thereby improving transparency and trustworthiness.