Boundary Delineation

Boundary delineation, the precise identification and outlining of boundaries in various contexts, is a crucial task across numerous scientific disciplines. Current research focuses on improving accuracy and robustness using deep learning models, such as U-Net variations, Vision Transformers, and graph neural networks, often incorporating multi-task learning and techniques like attention mechanisms to handle noisy or incomplete data. These advancements are significantly impacting fields ranging from medical imaging (e.g., brain segmentation, stroke lesion detection) and remote sensing (e.g., crop field mapping, burned area identification) to radiation therapy planning, improving diagnostic accuracy, resource management, and treatment efficacy.