Convolutional neural networks for automated tooth numbering on panoramic radiographs: a scoping review
Purpose: The objective of this scoping review was to investigate the applicability and performance of various convolutional neural network (CNN) models in tooth numbering on panoramic radiographs, achieved through classification, detection, and segmentation tasks. Materials and Methods: An online...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English English |
Published: |
Korean Academy of Oral and Maxillofacial Radiology
2023
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Subjects: | |
Online Access: | http://irep.iium.edu.my/107041/7/107041_Convolutional%20neural%20networks%20for%20automated%20tooth%20numbering.pdf http://irep.iium.edu.my/107041/13/107041_Convolutional%20neural%20networks%20for%20automated%20tooth%20numbering_SCOPUS.pdf http://irep.iium.edu.my/107041/ https://isdent.org/pdf/10.5624/isd.20230058 |
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http://irep.iium.edu.my/107041/7/107041_Convolutional%20neural%20networks%20for%20automated%20tooth%20numbering.pdfhttp://irep.iium.edu.my/107041/13/107041_Convolutional%20neural%20networks%20for%20automated%20tooth%20numbering_SCOPUS.pdf
http://irep.iium.edu.my/107041/
https://isdent.org/pdf/10.5624/isd.20230058