89 citations · 91 across the 3 of their papers we have counts for
3 papers
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
Shengcong Chen, Changxing Ding, Dacheng Tao +1
Nucleus segmentation is usually the first step in pathological image analysis tasks. Generalizable nucleus segmentation refers to the problem of training a segmentation model that…
CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation
Shengcong Chen, Changxing Ding, Minfeng Liu +2
Nucleus segmentation is a challenging task due to the crowded distribution and blurry boundaries of nuclei. Recent approaches represent nuclei by means of polygons to differentiate…
Boundary-assisted Region Proposal Networks for Nucleus Segmentation
Shengcong Chen, Changxing Ding, Dacheng Tao
Nucleus segmentation is an important task in medical image analysis. However, machine learning models cannot perform well because there are large amount of clusters of crowded nucl…