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Intraoral Image Generation by Progressive Growing of Generative Adversarial Network and Evaluation of Generated Image Quality by Dentists

2020-12-02

Abstract excerpt

Dentists need experience with plenty of clinical cases to practice specialized skills. However, the need to protect patients’ private information limits the ability to utilize lots of intraoral images obtained from clinical cases. In this study, since generating realistic images could making utilizing lots of intraoral images possible, intraoral images are generated by using a progressive growing of generative adv...

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Literature Corpus work
f66bd83c-e27d-50c9-ad14-061c8cbb3e3c
DOI
10.21203/rs.3.rs-117942/v1
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Intraoral Image Generation by Progressive Growing of Generative Adversarial Network and Evaluation of Generated Image Quality by DentistsDOI 10.21203/rs.3.rs-117942/v1
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