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Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification

Academic Radiology(2024)10.1016/j.acra.2024.04.011Source: DataRank Database

Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification is a research paper published in Academic Radiology (2024). On theSindex it has a DataRank of 0. It has been cited 22 times.

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Open Access22 citations

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Enrichment:Funding (1 grants)Impact (FWCI 6.35)OA: greenTopics (47)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

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 (15)

Katie Merriman ORCID,Stephanie A. Harmon ORCID,Jesse Tetreault ORCID,Enis C. Yılmaz ORCID,Zoë Blake ORCID

Live enrichment

PubMed:38670874 PMC:PMC11490411 OpenAlex:https://openalex.org/W4395446013

Intramural NIH HHS

Grant: ZIA BC012062

FWCI

6.35

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

greenLicense: https://www.elsevier.com/legal/tdmrep-license

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11490411/pdf/nihms-1985885.pdf

publisherhttps://api.elsevier.com/content/article/PII:S1076633224002204?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1076633224002204?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11490411

Fields of Study

Prostate Cancer Diagnosis and TreatmentAdvanced Radiotherapy TechniquesAI in cancer detectionHumansMaleProstatic NeoplasmsDeep LearningMagnetic Resonance ImagingNeoplasm GradingProspective StudiesSensitivity and SpecificityMiddle AgedAgedImage Interpretation, Computer-AssistedProstatectomyRandom Forest

MeSH Terms

Deep LearningRandom ForestAgedHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesProstatectomyProstatic NeoplasmsSensitivity and SpecificityNeoplasm Grading

Keywords

Random forestProstate cancerGrading (engineering)Artificial intelligenceDeep learningCancer detectionProstateExtension (predicate logic)MedicineComputer sciencePattern recognition (psychology)RadiologyMedical physicsCancerInternal medicineEngineeringMRIExtraprostatic Extension

Sustainable Development Goals

SDG 0: Life in Land

Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest Classification

FAIR Checklist

Authors (15)

Funding (1 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)