Yaşar, H., & Ceylan, M. (2023). 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, 29(6), 3931. https://doi.org/10.1007/s00530-022-00892-z
Chicago Style (17th ed.) CitationYaşar, Huseyin, 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 29, no. 6 (2023): 3931. https://doi.org/10.1007/s00530-022-00892-z.
MLA (9th ed.) CitationYaşar, Huseyin, 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, vol. 29, no. 6, 2023, p. 3931, https://doi.org/10.1007/s00530-022-00892-z.