Artificial intelligence for caries detection: Randomized trial-Reference-Cited by-同舟云学术

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Artificial intelligence for caries detection: Randomized trial

Published:2021-12 Issue: Volume:115 Page:103849
ISSN:0300-5712
Container-title:Journal of Dentistry
language:en
Short-container-title:Journal of Dentistry

Author:

Mertens Sarah,Krois Joachim^ORCID,Cantu Anselmo Garcia^ORCID,Arsiwala Lubaina T.,Schwendicke Falk^ORCID

Publisher

Elsevier BV

Subject

General Dentistry

Reference22 articles.

1. Convolutional neural networks for dental image diagnostics: a scoping review;Schwendicke;J. Dent.,2019

2. Classification of Approximal Caries in Bitewing Radiographs Using Convolutional Neural Networks;Moran;Sensors (Basel),2021

3. Caries and Restoration Detection Using Bitewing Film Based on Transfer Learning with CNNs;Mao;Sensors (Basel),2021

4. Deep learning for early dental caries detection in bitewing radiographs;Lee;Sci. Rep.,2021

5. Radiographic caries detection: a systematic review and meta-analysis;Schwendicke;J. Dent.,2015

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1. Identification of Root Canal Morphology in Fused-rooted Mandibular Second Molars From X-ray Images Based on Deep Learning;Journal of Endodontics;2024-09

2. Empowering Portable Optoelectronics With Computer Vision for Intraoral Cavity Detection;IEEE Sensors Journal;2024-08-15

3. Artificial Intelligence in Dental Caries Diagnosis and Detection: An Umbrella Review;Clinical and Experimental Dental Research;2024-08

4. Artificial intelligence for detecting periapical radiolucencies: A systematic review and meta-analysis;Journal of Dentistry;2024-08

5. Radiographical diagnostic competences of dental students using various feedback methods and integrating an artificial intelligence application—A randomized clinical trial;European Journal of Dental Education;2024-07-31

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