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Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study

UNC Libraries(2025)10.17615/jay8-7j12Source: DataRank Database

Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study is a research paper published in UNC Libraries (2025). On theSindex it has a DataRank of 0.

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0DataRank · unranked

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Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: greenTopics (14)IDs (PubMed, 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 (8)

Linnea T. Olsson ORCID,Joseph Geradts ORCID,J. S. Marron ORCID,Yifeng Shi ORCID,Benjamin C. Calhoun ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W4415283739

National Institutes of Health

Grant: 5P50CA058223-12

SPORE in Breast Cancer

National Institutes of Health

Grant: 5P01CA151135-05

Reproduction, Lactation and Hormonal Factors in Breast Cancer Subtypes

National Institutes of Health

Grant: 5U54CA156733-04

NCCU-LCCC Partnership in Cancer Research (2 of 2)

National Science Foundation

Grant: 2113404

Data Integration Via Analysis of Subspaces (DIVAS)

National Institutes of Health

Grant: 3P30CA016086-42S2

Cancer Center Support Grant

FWCI

0.00

Citation Percentile

0.1%

greenLicense: CC BY

repositoryhttps://doi.org/10.17615/jay8-7j12

https://doi.org/10.1038/s41523-023-00597-0

https://dx.doi.org/10.17615/jay8-7j12

https://pubmed.ncbi.nlm.nih.gov/37952058

http://dx.doi.org/10.1038/s41523-023-00597-0

Fields of Study

AI in cancer detectionRadiomics and Machine Learning in Medical ImagingDigital Radiography and Breast Imaging03 medical and health sciences0302 clinical medicine

Keywords

Breast cancerCancerBreast imagingH&E stainBreast tumorCore biopsyNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282Article