A comparative study of COVID-19 CT image synthesis using GAN and CycleGAN

• Main Authors: Kin Wai Lee, Renee Ka Yin Chin
• Format: Proceedings
• Language: English; English
• Published: IEEE Xplore 2022
• Subjects: QM1-511 General; RC71-78.7 Examination. Diagnosis Including radiography
• Online Access: https://eprints.ums.edu.my/id/eprint/41736/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/41736/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/41736/; https://ieeexplore.ieee.org/document/9936810
• Institution: Universiti Malaysia Sabah

Generative adversarial networks (GANs) have been very successful in many applications of medical image synthesis, which hold great clinical value in diagnosis and analysis tasks, especially when data is scarce. This study compares the two most adopted generative modelling algorithms in recent medica...