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Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates

medRxiv(2022)10.1101/2022.09.13.22279890Source: DataRank Database

Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates is a research paper published in medRxiv (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Enrichment:Funding (2 grants)OA: greenTopics (25)IDs (PubMed, OpenAlex)

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Authors (15)

Maik Herbig ORCID,Yuqi Zhou ORCID,Masako Nishikawa ORCID,Mohammad Shifat‐E‐Rabbi ORCID,Hiroshi Kanno ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4297053160

National Institutes of Health

Grant: 5R01GM130825-07

Transport transforms for biomedical data modeling, estimation, and classification

National Science Foundation

Grant: 1759802

ABI: Innovation: Analyzing Neuroglial Cell Dynamics in their Natural Environment with Video Microscopy

greenLicense: CC BY NC ND

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2022/09/15/2022.09.13.22279890.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.09.13.22279890

repositoryhttps://doi.org/10.1101/2022.09.13.22279890

https://doi.org/10.1002/cyto.a.24721

Fields of Study

COVID-19 Clinical Research StudiesCOVID-19 diagnosis using AIRetinal Imaging and Analysis0301 basic medicine0303 health sciences03 medical and health sciences0302 clinical medicine

Keywords

ThrombosisPlateletCoronavirus disease 2019 (COVID-19)Convolutional neural networkArtificial intelligencePopulationPlatelet activationMedicinePattern recognition (psychology)Computer sciencePathologyInternal medicineBlood PlateletsImage Processing, Computer-AssistedHumansCOVID-19Neural Networks, ComputerArticle