Automatic detection of the third molar and mandibular canal on panoramic radiographs based on deep learning-Reference-Cited by-同舟云学术

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Automatic detection of the third molar and mandibular canal on panoramic radiographs based on deep learning

Published:2024-09 Issue:4 Volume:125 Page:101946
ISSN:2468-7855
Container-title:Journal of Stomatology, Oral and Maxillofacial Surgery
language:en
Short-container-title:Journal of Stomatology, Oral and Maxillofacial Surgery

Author:

Fang Xinle^ORCID,Zhang Shengben^ORCID,Wei Zhiyuan,Wang Kaixin,Yang Guanghui,Li Chengliang,Han Min,Du Mi^ORCID

Publisher

Elsevier BV

Reference33 articles.

1. Automatic machine learning-based classification of mandibular third molar impaction status;Maruta;J Oral Maxillofac Surg Med Pathol,2023

2. Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs;Fukuda;Oral Surg Oral Med Oral Pathol Oral Radiol,2020

3. Multivariate relationships among risk factors and hypoesthesia of the lower lip after extraction of the mandibular third molar;Hasegawa;Oral Surg Oral Med Oral Pathol Oral Radiol Endodontol,2011

4. Prophylactic Vs. symptomatic third molar removal: effects on patient postoperative morbidity;Vranckx;J Evid-Based Dent Pract,2021

5. Automated detection of third molars and mandibular nerve by deep learning;Vinayahalingam;Sci Rep,2019

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