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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Autores principales: | Toshihito Takahashi, Kazunori Nozaki, Tomoya Gonda, Tomoaki Mameno, Kazunori Ikebe |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/d672d398392745c2bb498f6af87383ea |
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