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Cell Instance Segmentation Via Multi-Scale Non-Local Correlation

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.24.525387Source: DataRank Database

Cell Instance Segmentation Via Multi-Scale Non-Local Correlation is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (18)IDs (PubMed, OpenAlex)

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Authors (5)

Jianfeng Cao ORCID,Wei Wang ORCID,Dawen Cai ORCID,Yan Yan ORCID,Bin Duan ORCID

Live enrichment

PubMed:36747649 OpenAlex:https://openalex.org/W4317989590

National Institutes of Health

Grant: 1RF1MH123402-01

Integrative labeling, imaging, and reconstruction tools for high-throughput inhibitory microconnectivity analysis in the mouse brain

National Institutes of Health

Grant: 1RF1MH124611-01

Development of a scalable strategy for reconstructing cell-type determined connectome of the mammalian brain

NIMH NIH HHS

Grant: RF1 MH124611

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/01/25/2023.01.24.525387.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.01.24.525387

repositoryhttp://dx.doi.org/10.1101/2023.01.24.525387

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36747649

Fields of Study

Cell Image Analysis TechniquesDigital Imaging for Blood DiseasesAI in cancer detection03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Scale (ratio)SegmentationArtificial intelligenceCorrelationPattern recognition (psychology)Computer scienceMathematicsGeometryGeographyCartographyArticle