COVID-19 infection localization and severity grading from chest X-ray images

COVID-19 infection localization and severity grading from chest X-ray images

<p dir="ltr">The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic imaging has become a necessity for screening and mon...

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Bibliographic Details
Main Author: Anas M. Tahir (16870077) (author)
Other Authors: Muhammad E.H. Chowdhury (17151154) (author), Amith Khandakar (14151981) (author), Tawsifur Rahman (14150523) (author), Yazan Qiblawey (16904838) (author), Uzair Khurshid (17151157) (author), Serkan Kiranyaz (3762058) (author), Nabil Ibtehaz (16888773) (author), M. Sohel Rahman (12056885) (author), Somaya Al-Maadeed (5178131) (author), Sakib Mahmud (15302404) (author), Maymouna Ezeddin (16891368) (author), Khaled Hameed (17151160) (author), Tahir Hamid (16869921) (author)
Published: 2021
Subjects:
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Clinical sciences
Information and computing sciences
Artificial intelligence
COVID-19
Chest X-ray
Lung Segmentation
Infection Segmentation
Convolutional Neural Networks
Deep Learning
Reem Medical Center Qatar
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