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Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning
Data, training and testing pipelines for cell segmentation. (a) A
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
A Deep Learning Pipeline for Nucleus Segmentation
Jun KONG, PhD, Northeast Normal University, Changchun, School of Computer Science and Information Technology
Sharath CHOLLETI, CTO, PhD
Automated cell boundary and 3D nuclear segmentation of cells in suspension
PDF] Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections
Joel SALTZ, Professor and Chair; VP for Clinical Informatics; Associate Director Cancer Center, MD, PhD Duke University, Stony Brook University, New York, Stony Brook
A Deep Learning Pipeline for Nucleus Segmentation - Zaki - 2020 - Cytometry Part A - Wiley Online Library
Lee COOPER, Assistant Professor, Ph.D., Biomedical Informatics / Biomedical Engineering
Nuclear segmentation and classification pipeline. Images are processed
PDF] Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification