Nuclear segmentation and classification pipeline. Images are

Artificial intelligence with deep learning in nuclear medicine and radiology, EJNMMI Physics

Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines, BMC Bioinformatics

Cell Nuclei Detection on Whole-Slide Histopathology Images Using HistomicsTK and Faster R-CNN Deep Learning Models

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

Jijun Cheng - CatalyzeX

Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines, BMC Bioinformatics

Automating Ground Truth Annotations for Gland Segmentation Through Immunohistochemistry - Modern Pathology

Frontiers User-Accessible Machine Learning Approaches for Cell Segmentation and Analysis in Tissue

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

arxiv-sanity

A novel deep learning-based 3D cell segmentation framework for future image-based disease detection

Sharath CHOLLETI, CTO, PhD