Attention-Enhanced Bimodal 3D Medical Image Segmentation with Two-Stage Learning
This work proposes an enhanced 3D segmentation framework, UAtten-Unetr, designed to improve segmentation accuracy and robustness in complex medical scenarios, and innovatively developed a unified loss function based on bimodal modality-specific Dice constraints and uncertainty regularization, optimized for synchronous...