Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?

arXiv:2402.19423v1 Announce Type: new
Abstract: Interactive segmentation, an integration of AI algorithms and human expertise, premises to improve the accuracy and efficiency of curating large-scale, detailed-annotated datasets in healthcare. Human experts revise the annotations predicted by AI, and in turn, AI improves its predictions by learning from these revised annotations. This interactive process continues to enhance the quality of annotations until no major revision is needed from experts. The key challenge is how to leverage AI predicted and expert revised …

abstract accuracy ai algorithms algorithms annotations arxiv continual cs.ai cs.cv datasets efficiency expert expertise experts healthcare human integration interactive predictions scale segmentation training type