Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Image Descriptors for Weakly Annotated Histopathological Breast Cancer Data

Frontiers in Digital Health(2020)10.3389/fdgth.2020.572671Source: DataRank Database

Image Descriptors for Weakly Annotated Histopathological Breast Cancer Data is a research paper published in Frontiers in Digital Health (2020). On theSindex it has a DataRank of 0. It has been cited 4 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.27)OA: goldTopics (31)IDs (PubMed, PMC, OpenAlex)SDGs (3)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (6)

Anoop Cherian ORCID,Vassilios Morellas ORCID,Resha Tejpaul ORCID,Nikolaos Papanikolopoulos,Alexander M. Truskinovsky

Live enrichment

PubMed:33345255 PMC:PMC7749086 OpenAlex:https://openalex.org/W3111555496

National Institutes of Health

Grant: R01CA225435

National Science Foundation

Grant: 1939033

Phase II IUCRC University of Minnesota: Center for Robots and Sensors for the Human Well-being

National Institutes of Health

Grant: 5R01CA225435-02

SCH: Active Learning for Medical Applications

National Science Foundation

Grant: 1439728

I/UCRC Phase I: Robots and Sensors for the Human Well-being

Australian Research Council (ARC)

Grant: CE140100016

ARC Centres of Excellence - Grant ID: CE140100016

FWCI

0.27

Citation Percentile

0.7%

Citation Trend

2022

2025

goldLicense: cc-by

journalhttps://www.frontiersin.org/articles/10.3389/fdgth.2020.572671/pdf

publisherhttps://www.frontiersin.org/articles/10.3389/fdgth.2020.572671/pdf

publisherhttps://www.frontiersin.org/articles/10.3389/fdgth.2020.572671/full

journalhttps://doi.org/10.3389/fdgth.2020.572671

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33345255

Fields of Study

AI in cancer detectionBreast Lesions and CarcinomasDigital Imaging for Blood Diseases02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Artificial intelligenceLeverage (statistics)Computer scienceLocal binary patternsPattern recognition (psychology)Classifier (UML)Kernel (algebra)Machine learningPixelInferenceDigital pathologyImage (mathematics)HistogramMathematicsAnnotated DataConnected Health And Computer VisionConnected Health For Breast CancerHistopathological DataImage DescriptorsRQA75.5-76.95Electronic computers. Computer scienceMedicineDigital HealthPublic aspects of medicineRA1-1270

Sustainable Development Goals

SDG 3: 3. Good healthSDG 10: 10. No inequalitySDG 0: Good health and well-being