A human-AI framework trains segmentation models from binary 'better or worse' feedback, with a clicking agent and feature-based label propagation, achieving improving Dice scores across rounds on three public datasets.
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Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only "Better or Worse" Expert Feedback
A human-AI framework trains segmentation models from binary 'better or worse' feedback, with a clicking agent and feature-based label propagation, achieving improving Dice scores across rounds on three public datasets.