Haggag, S.; Elnakib, A.; Sharafeldeen, A.; Elsharkawy, M.; Khalifa, F.; Farag, R.K.; Mohamed, M.A.; Sandhu, H.S.; Mansoor, W.; Sewelam, A.;
et al. A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features. Appl. Sci. 2022, 12, 8326.
https://doi.org/10.3390/app12168326
AMA Style
Haggag S, Elnakib A, Sharafeldeen A, Elsharkawy M, Khalifa F, Farag RK, Mohamed MA, Sandhu HS, Mansoor W, Sewelam A,
et al. A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features. Applied Sciences. 2022; 12(16):8326.
https://doi.org/10.3390/app12168326
Chicago/Turabian Style
Haggag, Sayed, Ahmed Elnakib, Ahmed Sharafeldeen, Mohamed Elsharkawy, Fahmi Khalifa, Rania Kamel Farag, Mohamed A. Mohamed, Harpal Singh Sandhu, Wathiq Mansoor, Ashraf Sewelam,
and et al. 2022. "A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features" Applied Sciences 12, no. 16: 8326.
https://doi.org/10.3390/app12168326
APA Style
Haggag, S., Elnakib, A., Sharafeldeen, A., Elsharkawy, M., Khalifa, F., Farag, R. K., Mohamed, M. A., Sandhu, H. S., Mansoor, W., Sewelam, A., & El-Baz, A.
(2022). A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features. Applied Sciences, 12(16), 8326.
https://doi.org/10.3390/app12168326