Deep learning convolutional neural network algorithms for the early detection and diagnosis of dental caries on periapical radiographs: a systematic review

Purpose: The aim of this study was to analyse and review deep learning convolutional neural networks for detecting and diagnosing early-stage dental caries on periapical radiographs. Materials and Methods: In order to conduct this review, the Preferred Reporting Items for Systematic Reviews and Met...

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Bibliographic Details

Main Authors:	Musri, Nabila, Christie, Brenda, Ichwan, Solachuddin Jauhari Arief, Cahyanto, Arief
Format:	Article
Language:	en en
Published:	Korean Academy of Oral and Maxillofacial Radiology 2021
Subjects:	RK Dentistry
Online Access:	http://irep.iium.edu.my/91187/7/91187_Deep%20learning%20convolutional%20neural%20network%20algorithms.pdf http://irep.iium.edu.my/91187/13/91187_Deep%20learning%20convolutional%20neural%20network%20algorithms%20for%20the%20early%20detection%20and%20diagnosis%20of%20dental%20caries%20on%20periapical%20radiographs_Scopus.pdf http://irep.iium.edu.my/91187/ https://isdent.org/search.php?where=aview&id=10.5624/isd.20210074&code=2080ISD&vmode=FULL
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