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Quick Annotator: an open‐source digital pathology based rapid image annotation tool

The Journal of Pathology Clinical Research(2021)10.1002/cjp2.229Source: DataRank Database

Quick Annotator: an open‐source digital pathology based rapid image annotation tool is a research paper published in The Journal of Pathology Clinical Research (2021). On theSindex it has a DataRank of 0. It has been cited 38 times.

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Scored on demand from live citation data

Open Access38 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (44 grants)Impact (FWCI 3.12)OA: goldTopics (80)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Róbert Tóth ORCID,Yu Zhou ORCID,Anant Madabhushi ORCID,Andrew Janowczyk ORCID,Runtian Miao ORCID

Live enrichment

PubMed:34288586 PMC:PMC8503896 OpenAlex:https://openalex.org/W3186317940

Biomedical Laboratory Research and Development, VA Office of Research and Development

Grant: IBX004121A

National Center for Advancing Translational Sciences

Grant: UL1TR0002548

National Cancer Institute

Grant: 1U01 CA239055‐01

National Cancer Institute

Grant: 1U01CA248226‐01

National Cancer Institute

Grant: 1U24CA199374‐01

National Cancer Institute

Grant: 1U54CA254566‐01

National Cancer Institute

Grant: R01 CA216579‐01A1

National Cancer Institute

Grant: R01 CA220581‐01A1

National Cancer Institute

Grant: R01CA202752‐01A1

National Cancer Institute

Grant: R01CA208236‐01A1

National Center for Research Resources

Grant: 1 C06 RR12463‐01

National Heart, Lung, and Blood Institute

Grant: 1R01HL15127701A1

Office of Disease Prevention and Health Promotion

Grant: W81XWH‐15‐1‐0558

Office of Disease Prevention and Health Promotion

Grant: W81XWH‐18‐1‐0404

Office of Disease Prevention and Health Promotion

Grant: W81XWH‐18‐1‐0440

Office of Disease Prevention and Health Promotion

Grant: W81XWH‐19‐1‐0668

Office of Disease Prevention and Health Promotion

Grant: W81XWH‐20‐1‐0595

Office of Disease Prevention and Health Promotion

Grant: W81XWH‐20‐1‐0851

NCI NIH HHS

Grant: R01 CA208236

NCI NIH HHS

Grant: U01 CA239055

NCI NIH HHS

Grant: R01 CA202752

NCATS NIH HHS

Grant: UL1 TR002548

NCI NIH HHS

Grant: R01 CA216579

NCI NIH HHS

Grant: U54 CA254566

BLRD VA

Grant: IK6 BX006185

NCI NIH HHS

Grant: R01 CA220581

NCI NIH HHS

Grant: U01 CA248226

NCI NIH HHS

Grant: U24 CA199374

NIBIB NIH HHS

Grant: R43 EB028736

National Institutes of Health

Grant: 5R01CA220581-02

Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal Carcinoma

National Institutes of Health

Grant: 5U54CA254566-02

Lung cancer in East Africa and the relationship to HIV-1 infection: epidemiology, molecular characterization and imaging

National Institutes of Health

Grant: 5U01CA239055-02

HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identification

National Institutes of Health

Grant: 5R01CA216579-03

Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung Cancers

National Institutes of Health

Grant: 1U01CA239055-01

HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identification

National Institutes of Health

Grant: 5R01CA208236-02

MR Fingerprinting and Computerized Decision Support for Prostate Cancer

National Institutes of Health

Grant: 1C06RR012463-01

BIOMEDICAL ENGINEERING RESEARCH FACILITIES

National Institutes of Health

Grant: 1U01CA248226-01

RadxTools for assessing tumor treatment response on imaging

National Institutes of Health

Grant: 1R43EB028736-01

A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear Slides

National Institutes of Health

Grant: 3UL1TR002548-03S1

Clinical and Translational Science Collaborative of Cleveland

National Institutes of Health

Grant: 1U54CA254566-01

Lung cancer in East Africa and the relationship to HIV-1 infection: epidemiology, molecular characterization and imaging

National Institutes of Health

Grant: 5U01CA248226-03

RadxTools for assessing tumor treatment response on imaging

National Institutes of Health

Grant: 5R01CA202752-05

Computerized histologic image predictor of cancer outcome

National Institutes of Health

Grant: 1U24CA199374-01

Pathology Image Informatics Platform for visualization, analysis and management

National Institutes of Health

Grant: 5R01CA220581-05

Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal Carcinoma

FWCI

3.12

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cjp2.229

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cjp2.229

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/cjp2.229

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/cjp2.229

publisherhttps://pathsocjournals.onlinelibrary.wiley.com/doi/pdf/10.1002/cjp2.229

Fields of Study

AI in cancer detectionCell Image Analysis TechniquesDigital Imaging for Blood Diseases0301 basic medicine03 medical and health sciences0302 clinical medicineAutomation, LaboratoryBiopsyCell NucleusColorectal NeoplasmsDeep LearningEpithelial CellsHigh-Throughput Screening AssaysHumansImage Interpretation, Computer-AssistedMicroscopyPathologyPredictive Value of TestsReproducibility of ResultsTime FactorsWorkflow

MeSH Terms

Deep LearningBiopsyCell NucleusEpithelial CellsHumansImage Interpretation, Computer-AssistedMicroscopyPathologyPredictive Value of TestsTime FactorsColorectal NeoplasmsReproducibility of ResultsHigh-Throughput Screening AssaysWorkflowAutomation, Laboratory

Keywords

Computer scienceAnnotationDigital pathologyOpen sourceDigital image analysisArtificial intelligenceAutomatic image annotationImage (mathematics)Information retrievalNatural language processingComputer visionImage processingProgramming languageSoftwareEpitheliumNucleiEfficiencyActive LearningTubulesDeep LearningAnnotationsComputational PathologyOpen-source ToolTime FactorsBiopsyAutomation, Laboratory; Biopsy; Cell Nucleus/pathology; Colorectal Neoplasms/pathology; Deep Learning; Epithelial Cells/pathology; High-Throughput Screening Assays; Humans; Image Interpretation, Computer-Assisted; Microscopy; Pathology; Predictive Value of Tests; Reproducibility of Results; Time Factors; Workflow; active learning; annotations; computational pathology; deep learning; digital pathology; efficiency; epithelium; nuclei; open-source tool; tubulesWorkflowPredictive Value of TestsImage Interpretation, Computer-AssistedPathologyFOS: Electrical engineering, electronic engineering, information engineeringRB1-214HumansAutomation, LaboratoryCell NucleusMicroscopyopen‐source toolBrief ReportImage and Video Processing (eess.IV)Reproducibility of ResultsEpithelial CellsElectrical Engineering and Systems Science - Image and Video ProcessingHigh-Throughput Screening AssaysColorectal Neoplasms

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