Multi-Modal Feature Fusion for Myocardial Infarction Detection

Project Overview

A multi-modal feature fusion pipeline for myocardial infarction detection from echocardiogram and MRI sequences using deep learning. The system extracts complementary features from both imaging modalities, fuses them through attention-guided mechanisms, and classifies cardiac abnormalities with high sensitivity and specificity, enabling early detection of heart attacks and improved patient outcomes in clinical cardiology.