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Automated System for Identifying COVID-19 Infections in Computed Tomography Images Using Deep Learning Models
2022
Journal of Healthcare Engineering
Coronavirus disease 2019 (COVID-19) is a novel disease that affects healthcare on a global scale and cannot be ignored because of its high fatality rate. Computed tomography (CT) images are presently being employed to assist doctors in detecting COVID-19 in its early stages. In several scenarios, a combination of epidemiological criteria (contact during the incubation period), the existence of clinical symptoms, laboratory tests (nucleic acid amplification tests), and clinical imaging-based
doi:10.1155/2022/5329014
pmid:35368962
pmcid:PMC8968354
fatcat:25na3rrymrg43nuxb744on3dz4