Realistic High-Resolution Body Computed Tomography Image Synthesis by Using Progressive Growing Generative Adversarial Network: Visual Turing Test

BACKGROUND: Generative adversarial network (GAN)–based synthetic images can be viable solutions to current supervised deep learning challenges. However, generating highly realistic images is a prerequisite for these approaches. OBJECTIVE: The aim of this study was to investigate and validate the uns...

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Detalles Bibliográficos
Autores principales: Park, Ho Young, Bae, Hyun-Jin, Hong, Gil-Sun, Kim, Minjee, Yun, JiHye, Park, Sungwon, Chung, Won Jung, Kim, NamKug
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8077702/
https://www.ncbi.nlm.nih.gov/pubmed/33609339
http://dx.doi.org/10.2196/23328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8077702/
https://www.ncbi.nlm.nih.gov/pubmed/33609339
http://dx.doi.org/10.2196/23328

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