Nuclear segmentation and classification pipeline. Images are
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Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines, BMC Bioinformatics
Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines, BMC Bioinformatics
Lee COOPER, Assistant Professor, Ph.D., Biomedical Informatics / Biomedical Engineering
A survey on recent trends in deep learning for nucleus segmentation from histopathology images
PDF) Large Scale Imaging Analytics for In Silico Biomedicine
Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification
Lee COOPER, Assistant Professor, Ph.D., Biomedical Informatics / Biomedical Engineering
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
Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
arxiv-sanity
Joel SALTZ, Professor and Chair; VP for Clinical Informatics; Associate Director Cancer Center, MD, PhD Duke University, Stony Brook University, New York, Stony Brook
Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification
Use Case 1: Nuclei Segmentation - Andrew Janowczyk
The nuclei classification pipeline: detection, segmentation and
Tahsin Kurc's research works Stony Brook University, New York (Stony Brook) and other places
