Cite
A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks
MLA
Huseyin Yaşar, and Murat Ceylan. “A Novel Study for Automatic Two-Class COVID-19 Diagnosis (between COVID-19 and Healthy, Pneumonia) on X-Ray Images Using Texture Analysis and 2-D/3-D Convolutional Neural Networks.” Multimedia Systems, Jan. 2022, pp. 1–19. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....67dc60ee6389d0da77399f0775446728&authtype=sso&custid=ns315887.
APA
Huseyin Yaşar, & Murat Ceylan. (2022). A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks. Multimedia Systems, 1–19.
Chicago
Huseyin Yaşar, and Murat Ceylan. 2022. “A Novel Study for Automatic Two-Class COVID-19 Diagnosis (between COVID-19 and Healthy, Pneumonia) on X-Ray Images Using Texture Analysis and 2-D/3-D Convolutional Neural Networks.” Multimedia Systems, January, 1–19. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....67dc60ee6389d0da77399f0775446728&authtype=sso&custid=ns315887.