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Deep learning based prediction of extraction difficulty for mandibular third molars
This paper proposes a convolutional neural network (CNN)-based deep learning model for predicting the difficulty of extracting a mandibular third molar using a panoramic radiographic image. The applied dataset includes a total of 1053 mandibular third molars from 600 preoperative panoramic radiograp...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7820274/ https://ncbi.nlm.nih.gov/pubmed/33479379 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-81449-4 |
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