2023
DOI: 10.21608/sjsci.2022.160309.1031
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Expected Risk Minimization and Robust Preventive Inference of Transfer Learning for COVID-19 Diagnosis within Chest X-Rays

Abstract: The creation of a treatment strategy and the choice of patient-checking circumstances within many others are supported by early diagnosis of COVID-19 infection. It is possible to detect COVID-19 early on by applying a deep learning method to radiographic medical lab images. Convolutional neural networks (CNN) are used in this study to improve COVID-19 diagnoses using X-ray scans. An automated diagnostic solution that can swiftly deliver accurate diagnostic results is required. CNNs have been found to be effici… Show more

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