Deep learning-based detection of dental prostheses and restorations

Abstract The purpose of this study is to develop a method for recognizing dental prostheses and restorations of teeth using a deep learning. A dataset of 1904 oral photographic images of dental arches (maxilla: 1084 images; mandible: 820 images) was used in the study. A deep-learning method to recog...

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Auteurs principaux: Toshihito Takahashi, Kazunori Nozaki, Tomoya Gonda, Tomoaki Mameno, Kazunori Ikebe
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/d672d398392745c2bb498f6af87383ea
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