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Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images

Yamac M.; Ahishali M.; Degerli A.; Kiranyaz, Mustafa Serkan; Chowdhury M.E.H.; ... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)

Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ...

ANFIS-Net for automatic detection of COVID-19

Al-ali A.; Elharrouss O.; Qidwai U.; Al-Maadeed, Somaya ( Nature Research , 2021 , Article)

Among the most leading causes of mortality across the globe are infectious diseases which have cost tremendous lives with the latest being coronavirus (COVID-19) that has become the most recent challenging issue. The extreme ...

BEMD-3DCNN-based method for COVID-19 detection

Riahi, A.; Elharrouss, O.; Al-Maadeed, Somaya ( Elsevier Ltd , 2022 , Article)

The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...

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

Tahir A.M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Qiblawey Y.; ... more authors ... less authors ( Elsevier Ltd , 2021 , Article)

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 ...