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Segmenting CT prostate images using population and patient-specific statistics for radiotherapy: Segmenting CT prostate images for radiotherapy

UNC Libraries(2020)10.17615/rnt0-s905Source: DataRank Database

Segmenting CT prostate images using population and patient-specific statistics for radiotherapy: Segmenting CT prostate images for radiotherapy is a research paper published in UNC Libraries (2020). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 0.00)OA: greenTopics (15)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 (4)

Dinggang Shen ORCID,Qianjin Feng ORCID,Wufan Chen ORCID,Mark Foskey ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4301957742

FWCI

0.00

Citation Percentile

0.3%

green

repositoryhttps://doi.org/10.17615/rnt0-s905

Fields of Study

Medical Image Segmentation TechniquesMedical Imaging and AnalysisAdvanced Radiotherapy Techniques

Keywords

ProstateMarket segmentationRadiation therapyProstate cancerSegmentationMedicinePopulationRadiologyArtificial intelligenceComputer scienceInternal medicineCancer