Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image

• Main Authors: Samer Kais, Jameel, Sezgin, Aydin, Nebras H., Ghaeb, Jafar, Majidpour, Tarik A., Rashid, Sinan Q., Salih, Ng, Joseph, Poh Soon
• Format: Article
• Published: Molecular Diversity Preservation International (MDPI) 2022
• Subjects: R Medicine (General); RA Public aspects of medicine; RE Ophthalmology
• Online Access: http://eprints.intimal.edu.my/1700/; https://doi.org/10.3390/biom12121888

Corneal diseases are the most common eye disorders. Deep learning techniques are used to perform automated diagnoses of cornea. Deep learning networks require large-scale annotated datasets, which is conceded as a weakness of deep learning. In this work, a method for synthesizing medical images usin...