Integrating deep convolutional neural networks with marker-controlled watershed for overlapping nuclei segmentation in histopathology images

Nuclei segmentation in histopathology images plays a crucial role in the morphological quantitative analysis of tissue structure and has become a hot research topic. Though numerous efforts have been tried in this research area, the overlapping and touching nuclei segmentation remains a challenging problem. In this paper, we present a novel and effective instance segmentation method for tackling this challenge by integrating Deep Convolutional...