The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).
If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.
Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.
How to cite (IEEE):
A. Ko, & J. Cho
"Ultra-wide-field Fundus Image Synthesis Using Various GAN Models," JOIV : International Journal on Informatics Visualization, vol. 6, no. 3, , pp. 618-622, Sep. 2022.
https://doi.org/10.30630/joiv.6.3.1256
How to cite (APA):
Ko, A., & Cho, J.
(2022).
Ultra-wide-field Fundus Image Synthesis Using Various GAN Models.
JOIV : International Journal on Informatics Visualization, 6(3), 618-622.
https://doi.org/10.30630/joiv.6.3.1256
How to cite (Chicago):
Ko, Ara, AND Cho, Jungwon.
"Ultra-wide-field Fundus Image Synthesis Using Various GAN Models" JOIV : International Journal on Informatics Visualization [Online], Volume 6 Number 3 (30 September 2022)
https://doi.org/10.30630/joiv.6.3.1256
How to cite (Vancouver):
Ko A, & Cho J .
Ultra-wide-field Fundus Image Synthesis Using Various GAN Models.
JOIV : International Journal on Informatics Visualization [Online]. 2022 Sep;
6(3):618-622.
https://doi.org/10.30630/joiv.6.3.1256
How to cite (Harvard):
Ko, A., & Cho, J.
,2022.
Ultra-wide-field Fundus Image Synthesis Using Various GAN Models.
JOIV : International Journal on Informatics Visualization, [Online] 6(3), pp. 618-622.
https://doi.org/10.30630/joiv.6.3.1256
How to cite (MLA8):
Ko, Ara, & Jungwon Cho.
"Ultra-wide-field Fundus Image Synthesis Using Various GAN Models." JOIV : International Journal on Informatics Visualization [Online], 6.3 (2022): 618-622. Web. 21 Jan. 2025
, https://doi.org/10.30630/joiv.6.3.1256
BibTex Citation Data :
@article{