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Automated Lung Ultrasound Pulmonary Disease Quantification Using an Unsupervised Machine Learning Technique for COVID-19

Diagnostics(2023)10.3390/diagnostics13162692Source: DataRank Database

Automated Lung Ultrasound Pulmonary Disease Quantification Using an Unsupervised Machine Learning Technique for COVID-19 is a research paper published in Diagnostics (2023). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

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Open Access4 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: goldTopics (23)IDs (PubMed, PMC)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Michael A. Jacobs ORCID,Alireza Akhbardeh ORCID,Hersh Sagreiya ORCID

Live enrichment

PubMed:37627951 PMC:PMC10453777

Radiological Society of North America

Grant: RSCH2028

Radiological Society of North America

Grant: 1034096

Radiological Society of North America

Grant: 5P30CA006973

Radiological Society of North America

Grant: U01CA140204

National Institutes of Health

Grant: 5U01CA140204-03

Multi-Modality Quantitiative Imaging for Evaluation of Response to Cancer Therapy

National Institutes of Health

Grant: 3P30CA006973-53S2

Regional Oncology Research Center

goldLicense: cc-by

publisherhttps://www.mdpi.com/2075-4418/13/16/2692/pdf?version=1692180741

publisherhttps://www.mdpi.com/2075-4418/13/16/2692/pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10453777/pdf/diagnostics-13-02692.pdf

repositoryhttps://doaj.org/article/26a1e1da8a56464ea1f924890357daee

repositoryhttps://dx.doi.org/10.3390/diagnostics13162692

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Computer visionultrasoundMachine LearningUnsupervised LearningTreatment EffectivenessPocusCovid-19Medicine (General)PulmonologyRespiratory Tract DiseasesDiseasesArticle618Signs and SymptomsR5-920616Medical SpecialtiesMedicine and Health SciencesPathological ConditionsPublic HealthRadiology