Nuclear segmentation and classification pipeline. Images are

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

Tahsin Kurc's research works Stony Brook University, New York (Stony Brook) and other places

David GUTMAN, Professor (Assistant), MD PhD, Emory University, GA, EU, Department of Neurology

A Novel Pipeline Framework for Digital Assay Development in Pathology and Multi-omics - Part Two - Reveal Biosciences

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

Tahsin Kurc's research works Stony Brook University, New York (Stony Brook) and other places

A Deep Learning Pipeline for Nucleus Segmentation

Jun KONG, PhD, Northeast Normal University, Changchun, School of Computer Science and Information Technology

David GUTMAN, Professor (Assistant), MD PhD, Emory University, GA, EU, Department of Neurology

Frontiers Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry