Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs-Reference-Cited by-同舟云学术

Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs

Published:2020-10 Issue:4 Volume:130 Page:464-469
ISSN:2212-4403
Container-title:Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
language:en
Short-container-title:Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology

Author:

Kuwada Chiaki^ORCID,Ariji Yoshiko,Fukuda Motoki,Kise Yoshitaka^ORCID,Fujita Hiroshi,Katsumata Akitoshi,Ariji Eiichiro

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Dentistry (miscellaneous),Pathology and Forensic Medicine,Oral Surgery,Surgery

Reference20 articles.

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3. Utilization of computer-aided detection system in diagnosing unilateral maxillary sinusitis on panoramic radiographs;Ohashi;Dentomaxillofac Radiol,2016

4. Tooth detection and numbering in panoramic radiographs using convolutional neural networks;Tuzoff;Dentomaxillofac Radiol,2019

5. Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography;Murata;Oral Radiol,2019

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