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Insights of Cell Segmentation in Cell Painting Image Analysis
Diagnostics, Free Full-Text
Characterisation of tumour microenvironment remodelling following oncogene inhibition in preclinical studies with imaging mass cytometry
Sharath CHOLLETI, CTO, PhD
Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines, BMC Bioinformatics
A Deep Learning Pipeline for Nucleus Segmentation
A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization - ScienceDirect
David GUTMAN, Professor (Assistant), MD PhD, Emory University, GA, EU, Department of Neurology
Efficient end-to-end learning for cell segmentation with machine generated weak annotations
Sharath CHOLLETI, CTO, PhD
InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification, BMC Bioinformatics
A survey on recent trends in deep learning for nucleus segmentation from histopathology images
Lee COOPER, Assistant Professor, Ph.D., Biomedical Informatics / Biomedical Engineering