Improved Box Dice

Improved Dice loss functions and related methods are being actively developed to enhance the accuracy and robustness of image segmentation, particularly in medical imaging and other applications involving complex data. Current research focuses on incorporating geometric details and topological information into Dice calculations, often using centerline or boundary information, and employing novel architectures like Transformers to improve efficiency and generalization. These advancements are crucial for improving the reliability of automated segmentation in various fields, leading to more accurate diagnoses, improved treatment planning, and more efficient workflows.