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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Anas M. Tahir (16870077) (author)
مؤلفون آخرون:	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)
منشور في:	2021
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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