Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN

We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images. An independent pre-trained criterion is added to the conventional Cycle GAN architecture to exert ada...

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Detalles Bibliográficos
Autores principales: Liang, Zhaohui, Huang, Jimmy Xiangji, Antani, Sameer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785652/
https://www.ncbi.nlm.nih.gov/pubmed/36559994
http://dx.doi.org/10.3390/s22249628

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785652/
https://www.ncbi.nlm.nih.gov/pubmed/36559994
http://dx.doi.org/10.3390/s22249628

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