2023
DOI: 10.1038/s41598-023-49337-1
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COVID-19 infection segmentation using hybrid deep learning and image processing techniques

Samar Antar,
Hussein Karam Hussein Abd El-Sattar,
Mohammad H. Abdel-Rahman
et al.

Abstract: The coronavirus disease 2019 (COVID-19) epidemic has become a worldwide problem that continues to affect people’s lives daily, and the early diagnosis of COVID-19 has a critical importance on the treatment of infected patients for medical and healthcare organizations. To detect COVID-19 infections, medical imaging techniques, including computed tomography (CT) scan images and X-ray images, are considered some of the helpful medical tests that healthcare providers carry out. However, in addition to the difficul… Show more

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