Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset-Reference-Cited by-同舟云学术

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Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset

Published:2024-05 Issue: Volume:144 Page:104891
ISSN:0300-5712
Container-title:Journal of Dentistry
language:en
Short-container-title:Journal of Dentistry

Author:

Bonfanti-Gris M,Herrera A^ORCID,Paraíso-Medina S^ORCID,Alonso-Calvo R^ORCID,Martínez-Rus F^ORCID,Pradíes G^ORCID

Publisher

Elsevier BV

Reference31 articles.

1. Optimization technique combined with deep learning method for teeth recognition in dental panoramic radiographs;Mahdi;Sci. Rep.,2020

2. Application of deep learning in teeth identification tasks on panoramic radiographs;Umer;Dento Maxillo Facial Radiol.,2022

3. Automated chart filing on panoramic radiographs using deep learning;Vinayahalingam;J. Dent.,2021

4. Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs;Chandrashekar;Comput. Biol. Med.,2022

5. Evaluation of an Artificial Intelligence web-based software to detect and classify dental structures and treatments in panoramic radiographs;Bonfanti-Gris;J. Dent.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-Driven localization of all impacted teeth and prediction of winter angulation for third molars on panoramic radiographs: Clinical user interface design;Computers in Biology and Medicine;2024-08

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