Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images
<|reference_start|>Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide images: This paper proposes a dynamic interactive and weakly supervised segmentation method with minimal user interactions to address two major challenges in the segmentation of whole slide histopathology images. First, the lack of hand-annotated datasets to train algorithms. Second, the lack of interactive paradigms to enable a dialogue between the pathologist and the machine, which can be a major obstacle for use in clinical routine.   We therefore propose a fast and user oriented method to bridge this gap by giving the pathologist control over the final result while limiting the number of interactions needed to achieve a good result (over 90\% on all our metrics with only 4 correction scribbles).<|reference_end|>
@article{habis2024scribble-based,
    title={Scribble-based fast weak-supervision and interactive corrections for
  segmenting whole slide images},
    author={Antoine Habis, Roy Rosman Nathanson, Vannary Meas-Yedid, Elsa D.
  Angelini and Jean-Christophe Olivo-Marin},
    journal={arXiv preprint arXiv:2402.08333},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.08333},
    primaryClass={cs.CV}
}