ArticleBioinformatics (Oxford, England)2016
Collaborative analysis of multi-gigapixel imaging data using Cytomine.
Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.
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Who cites it
75 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mass spectrometry-based human spatial omics: fundamentals, innovations, and applications.Journal of biomedical science · 2026Pooled it
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- Converting whole slide images from DICOM to ScanScope Virtual Slide-like TIFF: a practical workaround for teaching, research, and collaborative diagnosis.Virchows Archiv : an international journal of pathology · 2026Article
- Review
- The Feasibility of One-Stage Instance Segmentation for Detecting Oral Potentially Malignant Disorders in White-Light Clinical Photographs: A Proof-of-Concept Study.Dentistry journal · 2026Article
- The PAR dataset: Prostate biopsy whole slide images from an underrepresented Middle Eastern population.Scientific data · 2026Article
- AI-Driven Breast Cancer Nuclei Segmentation, Classification, and Scoring in PR-IHC Images.Diagnostics (Basel, Switzerland) · 2026Article
- Detection of macrovesicular steatosis in hematoxylin and eosin-stained histological images of human livers: A feature-based method.Journal of pathology informatics · 2026Article
- Article
- Bridging the digital pathology divide: reciprocal learning between high-resource and low-resource settings.BMJ digital health & AI · 2026Review
- HER2-SISH40x: Annotated histopathology image dataset for HER2 amplification assessment in breast cancer.Data in brief · 2025Article
- Scalable, trustworthy generative model for virtual multi-staining from H&E whole slide images.PLoS computational biology · 2025Article
- Advancing open-source visual analytics in digital pathology: A systematic review of tools, trends, and clinical applications.Journal of pathology informatics · 2025Review
- A single-center retrospective comparison of pT1 substaging methods in bladder cancer.Virchows Archiv : an international journal of pathology · 2025Article
- Statistical analysis of spatial patterns in tumor microenvironment images.Nature communications · 2025Article
- Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data.Communications medicine · 2025Article
- Detection and classification of glomerular lesions in kidney graft biopsies using 2-stage deep learning approach.Medicine · 2025Article
- GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning.Computational and structural biotechnology journal · 2025Article
- BIOMERO: A scalable and extensible image analysis framework.Patterns (New York, N.Y.) · 2024Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationCollaborative analysis of massive imaging datasets is essential to enable scientific discoveries.
resultsWe developed Cytomine to foster active and distributed collaboration of multidisciplinary teams for large-scale image-based studies. It uses web development methodologies and machine learning in order to readily organize, explore, share and analyze (semantically and quantitatively) multi-gigapixel imaging data over the internet. We illustrate how it has been used in several biomedical applications. AVAILABILITY AND IMPLEMENTATION: Cytomine (http://www.cytomine.be/) is freely available under an open-source license from http://github.com/cytomine/ A documentation wiki (http://doc.cytomine.be) and a demo server (http://demo.cytomine.be) are also available. CONTACT: info@cytomine.be SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.