CORE-Seg: Reasoning-Driven Segmentation for Complex Lesions via Reinforcement Learning

CORE-Seg: Reasoning-Driven Segmentation for Complex Lesions via Reinforcement Learning explores CORE-Seg is an end-to-end framework for reasoning-driven complex lesion segmentation in medical images, leveraging reinforcement learning and a novel benchmark dataset to achieve state-of-the-art results.. Commercial viability score: 8/10 in Medical AI.