CoVSeverity-Net: an efficient deep learning model for COVID-19 severity estimation from Chest X-Ray images

Deb, S. D.; Jha, R. K.; Kumar, R.; Tripathi, P. S.; Talera, Y.; Kumar, M.

Deb, S. D.; Jha, R. K.; Kumar, R.; Tripathi, P. S.; Talera, Y.; Kumar, M..

Research on Biomedical Engineering ; 2023.

Article in English | Scopus | ID: covidwho-2240174

Keywords

Deep learning; Diagnosis; Large dataset; Learning systems; Patient treatment; Chest X-ray; Chest X-ray image; Covseverity-net; Cross validation; Large-scale datasets; Learning models; Learning techniques; Severity estimation; Three-level; World Health Organization; COVID-19

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study / Randomized controlled trials Language: English Journal: Research on Biomedical Engineering Year: 2023 Document Type: Article

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