Nuclear segmentation and classification pipeline. Images are

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Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain normalization - Computational and Structural Biotechnology Journal

Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types

InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification, BMC Bioinformatics

Andrew Janowczyk on LinkedIn: Can't ever get enough of these beautiful datasets that OTLS creates. If…

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Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification

Cell segmentation for immunofluorescence multiplexed images using two-stage domain adaptation and weakly labeled data for pre-training

A deep learning approach for nucleus segmentation and tumor classification from lung histopathological images

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PDF) DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images

Efficient end-to-end learning for cell segmentation with machine generated weak annotations