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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Detalles Bibliográficos
Autores principales: Yoo, Jeong-Hun, Yeom, Han-Gyeol, Shin, WooSang, Yun, Jong Pil, Lee, Jong Hyun, Jeong, Seung Hyun, Lim, Hun Jun, Lee, Jun, Kim, Bong Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820274/
https://www.ncbi.nlm.nih.gov/pubmed/33479379
http://dx.doi.org/10.1038/s41598-021-81449-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820274/
https://www.ncbi.nlm.nih.gov/pubmed/33479379
http://dx.doi.org/10.1038/s41598-021-81449-4

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