Intraoral image generation by progressive growing of generative adversarial network and evaluation of generated image quality by dentists

Abstract Dentists need experience with clinical cases to practice specialized skills. However, the need to protect patient's private information limits their ability to utilize intraoral images obtained from clinical cases. In this study, since generating realistic images could make it possible...

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Auteurs principaux: Kazuma Kokomoto, Rena Okawa, Kazuhiko Nakano, Kazunori Nozaki
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/a52644fad59b4613a6d976757d759ab5
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