HIGHLIGHTS
- who: Samer Kais Jameel et al. from the Computer Science Department, of Raparin, Rania, Department of Natural and Mathematical Sciences, Engineer Faculty, Tarsus, Tarsus, Turkey have published the research work: Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image, in the Journal: Biomolecules 2022, 1888 of 16/Dec/2022
- what: In this work a method for synthesizing medical images using conditional generative adversarial networks (CGANs) is presented. This model has been used in many studies hoping to generate realistic images, especially for medical imaging applications, such as image-to-image translation . . .
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