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Leverage weekly annotation to pixel-wise annotation via zero-shot segment anything model for molecular-empowered learning

PubMed(2024)10.1117/12.3006577Source: DataRank Database

Leverage weekly annotation to pixel-wise annotation via zero-shot segment anything model for molecular-empowered learning is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0.208. It has been cited 3 times.

N/A

0.208DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 1.06)OA: greenTopics (29)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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.208

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (6)

Ruining Deng ORCID,Yucheng Tang ORCID,Shunxing Bao ORCID,Haichun Yang ORCID,Yuankai Huo ORCID

Live enrichment

PubMed:40343078 OpenAlex:https://openalex.org/W4393574761

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

NIDDK NIH HHS

Grant: R01 DK056942

NIDDK NIH HHS

Grant: R01 DK135597

FWCI

1.06

Citation Percentile

0.8%

Citation Trend

2024

2025

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12061080/pdf/nihms-2022031.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12061080

https://doi.org/10.1117/12.3006577

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40343078

Fields of Study

AI in cancer detectionCell Image Analysis TechniquesDigital Imaging for Blood Diseases0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

AnnotationComputer scienceLeverage (statistics)SegmentationArtificial intelligencePixelLabeled dataDomain (mathematical analysis)Process (computing)Task (project management)Machine learningNatural language processingComputer visionPattern recognition (psychology)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 ProcessingDeep learningImage annotationMolecular-empowered learningPathology