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

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

BackgroundGenerative 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. ObjectiveThe aim of this study was to...

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Bibliographic Details
Main Authors: Park, Ho Young, Bae, Hyun-Jin, Hong, Gil-Sun, Kim, Minjee, Yun, JiHye, Park, Sungwon, Chung, Won Jung, Kim, NamKug
Format: Article
Language:English
Published: JMIR Publications 2021-03-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2021/3/e23328

Internet

https://medinform.jmir.org/2021/3/e23328

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