DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions

arXiv:2404.14956v1 Announce Type: new
Abstract: Weakly supervised segmentation methods have gained significant attention due to their ability to reduce the reliance on costly pixel-level annotations during model training. However, the current weakly supervised nuclei segmentation approaches typically follow a two-stage pseudo-label generation and network training process. The performance of the nuclei segmentation heavily relies on the quality of the generated pseudo-labels, thereby limiting its effectiveness. This paper introduces a novel domain-adaptive weakly supervised nuclei segmentation framework using cross-task interaction strategies …

arxiv cs.cv domain interactions segmentation type via