Spatiotemporal Deep Learning with Ai-Driven Bidirectional Convlstm-Augmented Residual U-Net for Automated Pathology Classification And 4d Cardiac MRI Segmentation
This work proposes BiConvLSTM-ResUNet, a unified end-to-end architecture that addresses this limitation via three mutually reinforcing innovations: a stacked bidirectional convolutional long short-term memory module embedded in the bottleneck of a deep residual encoder-decoder for simultaneous forward and backward temp...