most citedBoundary-assisted Region Proposal Networks for Nucleus Segmentation

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cs.CV2023

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…

cs.CV2020★ 2 cited

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…