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Multi-scale multi-site renal microvascular structures segmentation for whole slide imaging in renal pathology

PubMed(2024)10.1117/12.3006262Source: DataRank Database

Multi-scale multi-site renal microvascular structures segmentation for whole slide imaging in renal pathology is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (8)IDs (PubMed)

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 (5)

Ruining Deng ORCID,Shunxing Bao ORCID,Haichun Yang ORCID,Yuankai Huo ORCID,Franklin Hu

Live enrichment

PubMed:40375952

National Institutes of Health

Grant: 1R01DK135597-01

AI-empowered 3D Computer Vision and Image-Omics Integration for Digital Kidney Histopathology

National Institutes of Health

Grant: 5R01DK056942-07

Resolution of Glomerulosclerosis

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12080525/pdf/nihms-2022034.pdf

https://doi.org/10.1117/12.3006262

https://dx.doi.org/10.48550/arxiv.2308.05782

https://pubmed.ncbi.nlm.nih.gov/40375952

http://arxiv.org/abs/2308.05782

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

FOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video Processing