A Hybrid Vision Transformer and U-Net Framework for Automated Cardiac MRI Segmentation and Abnormality Detection
Cardiovascular diseases remain a leading cause of mortality worldwide, and accurate segmentation of cardiac structures from MRI is critical for clinical diagnosis. We propose a hybrid framework that integrates a Vision Transformer encoder with a U-Net decoder for automated cardiac MRI segmentation and abnormality detec...