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Automated Skin Cancer Report Generation via a Knowledge-Distilled Vision-Language Model

IEEE Access(2025)10.1109/access.2025.3591750Source: DataRank Database

Automated Skin Cancer Report Generation via a Knowledge-Distilled Vision-Language Model is a research paper published in IEEE Access (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.81)OA: goldTopics (15)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)

Boyu Zhang ORCID,Hengyi Tian,Aleksandar Vakanski ORCID,Min Xian ORCID,Lawhori Chakrabarti

Live enrichment

PubMed:40969250 PMC:PMC12443370 OpenAlex:https://openalex.org/W4412610862

National Institute of General Medical Sciences of the National Institutes of Health

Grant: P20GM104420

FWCI

0.81

Citation Percentile

0.7%

Citation Trend

2026

goldLicense: cc-by

journalhttps://doi.org/10.1109/access.2025.3591750

publisherhttps://doi.org/10.1109/access.2025.3591750

publisherhttp://xplorestaging.ieee.org/ielx8/6287639/10820123/11091320.pdf?arnumber=11091320

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40969250

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12443370

Fields of Study

Biomedical Text Mining and OntologiesArtificial Intelligence in Law

Keywords

Computer scienceArtificial intelligenceCancerNatural language processingComputer visionMedicineMelanomaSkin CancerDermoscopy ImageExplainable AiMedical Report GenerationVision-language ModelsKnowledge Distillation