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).

本文提出了一种动态交互和弱监督分割方法，以最小用户交互方式解决全幻灯组织病理图像分割中的两个主要挑战：缺乏手工标注的数据集来训练算法以及缺乏能够对话的交互模式，这在临床实践中可能是一个主要障碍。因此，我们提出了一种快速和用户导向的方法来弥合这一差距，让病理学家对最终结果有控制权的同时，限制所需交互的数量以获得良好的结果（仅需 4 次校正示意图即可在所有度量标准上实现 90％以上）。