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Mammo-GAN-Assisted Deep Network Training Scheme for Lesion Detection

Journal of Imaging Informatics in Medicine(2025)10.1007/s10278-025-01771-5Source: DataRank Database

Mammo-GAN-Assisted Deep Network Training Scheme for Lesion Detection is a research paper published in Journal of Imaging Informatics in Medicine (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: hybridTopics (16)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 (2)

Robert M. Nishikawa ORCID,Juhun Lee ORCID

Live enrichment

PubMed:41402618 OpenAlex:https://openalex.org/W4417402400

National Cancer Institute

Grant: R37-CA248207

National Cancer Institute

Grant: R01-CA269540

NCI NIH HHS

Grant: R37 CA248207

FWCI

0.00

Citation Percentile

0.1%

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s10278-025-01771-5.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s10278-025-01771-5.pdf

publisherhttps://link.springer.com/article/10.1007/s10278-025-01771-5/fulltext.html

journalhttps://doi.org/10.1007/s10278-025-01771-5

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41402618

Fields of Study

AI in cancer detectionCOVID-19 diagnosis using AIAdvanced Neural Network Applications

Keywords

LesionDeep learningTraining setMammographyScheme (mathematics)RetrainingTask (project management)Pattern recognition (psychology)Computer Aided DetectionCycle-ganGenerative AiLesion RemoverLesion Simulator