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Convolutional Neural Network Quantification of Gleason Pattern 4 and Association With Biochemical Recurrence in Intermediate-Grade Prostate Tumors

Modern Pathology(2023)10.1016/j.modpat.2023.100157Source: DataRank Database

Convolutional Neural Network Quantification of Gleason Pattern 4 and Association With Biochemical Recurrence in Intermediate-Grade Prostate Tumors is a research paper published in Modern Pathology (2023). On theSindex it has a DataRank of 0. It has been cited 8 times.

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Open Access8 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:OA: bronzeTopics (16)IDs (PubMed)

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Reusable (0/3)

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Authors (14)

Ian M. Loveless ORCID,Tiffany Nakai,Rehnuma Newaz,Firas F. Abdollah,Craig Rogers ORCID

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PubMed:36925071

bronzeLicense: http://www.elsevier.com/open-access/userlicense/1.0/

publisherhttp://www.modernpathology.org/article/S0893395223000625/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0893395223000625?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0893395223000625?httpAccept=text/plain

MeSH Terms

HumansProstatic NeoplasmsNeoplasm Recurrence, LocalGuanidinesPiperazinesProstatectomyReproducibility of ResultsArtificial IntelligenceMaleNeoplasm GradingNeural Networks, Computer

Keywords

Artificial intelligenceprostate cancerGleason GradeDigital PathologyPercent Gleason Pattern 4