Spatiotemporal Deep Learning with Ai-Driven Bidirectional Convlstm-Augmented Residual U-Net for Automated Pathology Classification And 4d Cardiac MRI Segmentation
Accurate and temporally coherent tracking of the cardiac structures throughout the entire systolic-diastolic cycle remains a fundamental unsolved problem in computational cardiology. Contemporary deep learning approaches for cardiac MRI segmentation are predominantly frame- independent, disregarding the abundant biomec...