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Inter-Rater and Intra-Rater Agreement in Scoring Severity of Rodent Cardiomyopathy and Relation to Artificial Intelligence–Based Scoring

Toxicologic Pathology(2024)10.1177/01926233241259998Source: DataRank Database

Inter-Rater and Intra-Rater Agreement in Scoring Severity of Rodent Cardiomyopathy and Relation to Artificial Intelligence–Based Scoring is a research paper published in Toxicologic Pathology (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Enrichment:Funding (5 grants)OA: greenTopics (19)IDs (PubMed, PMC)Annotations (1)

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Authors (16)

Debra A. Tokarz ORCID,Caroll A. Co ORCID,Shawn Harris ORCID,Sandra J. McBride ORCID,Keith R. Shockley ORCID

Live enrichment

PubMed:38907685 PMC:PMC11412787

NIEHS NIH HHS

Grant: HHSN273201500013C

Intramural NIH HHS

Grant: Z99 ES999999

NIEHS NIH HHS

Grant: HHSN273201500012I

NIEHS NIH HHS

Grant: HHSN273201500014C

NIEHS NIH HHS

Grant: HHSN273201500012C

greenLicense: https://journals.sagepub.com/page/policies/text-and-data-mining-license

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11412787/pdf/nihms-1996664.pdf

publisherhttps://journals.sagepub.com/doi/pdf/10.1177/01926233241259998

publisherhttps://journals.sagepub.com/doi/full-xml/10.1177/01926233241259998

MeSH Terms

MyocardiumAnimalsRatsCardiomyopathiesObserver VariationReproducibility of ResultsAlgorithmsArtificial IntelligenceImage Processing, Computer-AssistedPathologists

Keywords

Artificial intelligenceRatKappaCardiomyopathyComputer-assisted Image AnalysisInter-rater AgreementSprague DawleyDeep LearningIntra-rater Agreement