ReviewFrontiers in medicine2019
Open Practices and Resources for Collaborative Digital Pathology.
Review in Frontiers in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Barriers and Enablers to the Production of Open Access Medical Education Platforms: Scoping Review.JMIR medical education · 2025Article
- Development of a national pathology training system using digital pathology and SNOMED-CT.Journal of pathology informatics · 2025Article
- Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT model.NPJ digital medicine · 2025Article
- Systematic scoping review of external validation studies of AI pathology models for lung cancer diagnosis.NPJ precision oncology · 2025Article
- Improving the Annotation Process in Computational Pathology: A Pilot Study with Manual and Semi-automated Approaches on Consumer and Medical Grade Devices.Journal of imaging informatics in medicine · 2025Article
- Developing image analysis methods for digital pathology.The Journal of pathology · 2022Review
- Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations.The journal of pathology. Clinical research · 2022Article
- Navigating the cellular landscape in tissue: Recent advances in defining the pathogenesis of human disease.Computational and structural biotechnology journal · 2022Review
- Software tools and platforms in Digital Pathology: a review for clinicians and computer scientists.Journal of pathology informatics · 2022Review
- Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers.Cancer research · 2021Article
- QuPath: The global impact of an open source digital pathology system.Computational and structural biotechnology journal · 2021Review
- TissUUmaps: interactive visualization of large-scale spatial gene expression and tissue morphology data.Bioinformatics (Oxford, England) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we describe open practices and open resources in the field of digital pathology with a specific focus on approaches that ease collaboration in research and education settings. Our review includes open access journals and open peer review, open-source software (libraries, desktop tools, and web applications), and open access collections. We illustrate applications and discuss current limitations and perspectives.
Indexed as
Identifiers
What OpenQuestion holds
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.