A comparative study of COVID-19 CT image synthesis using GAN and CycleGAN
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...
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| Main Authors: | , |
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| Format: | Proceedings |
| Language: | English English |
| Published: |
IEEE Xplore
2022
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| Subjects: | |
| 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 |
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