Accuracy of visual and image-based ICDAS criteria compared with a micro-CT gold standard for caries detection on occlusal surfaces-Reference-Cited by-同舟云学术

Accuracy of visual and image-based ICDAS criteria compared with a micro-CT gold standard for caries detection on occlusal surfaces

Published:2018-07-10 Issue:0 Volume:32 Page:
ISSN:1807-3107
Container-title:Brazilian Oral Research
language:
Short-container-title:Braz. oral res.

Author:

CARVALHO Raquel Nogueira de¹,LETIERI Aline dos Santos¹,VIEIRA Thiago Isidro¹,SANTOS Thais Maria Pires dos¹,LOPES Ricardo Tadeu¹,NEVES Aline de Almeida¹,POMARICO Luciana¹

Affiliation:

1. Universidade Federal do Rio de Janeiro, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

http://www.scielo.br/pdf/bor/v32/1807-3107-bor-32-e060.pdf

Reference30 articles.

1. The International Caries Detection and Assessment System (ICDAS): an integrated system for measuring dental caries;Ismail AI;Community Dent Oral Epidemiol,2007

2. International caries detection and assessment system: A new paradigm in detection of dental caries;Shivakumar K;J Conserv Dent,2009

3. In vitro evaluation of ICDAS and radiographic examination of occlusal surfaces and their association with treatment decisions;Diniz MB;Oper Dent,2011

4. In vitro performance of different methods in detecting occlusal caries lesions;Gomez J;J Dent,2013

5. Digital dental photography: a contemporary revolution;Desai V;Int J Clin Pediatr Dent,2013

Cited by 12 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. Effectiveness of Fluoride Varnishes for White Spot Lesion Prevention and Remineralization during Orthodontic Treatment: A Randomized Controlled Trial;Caries Research;2024-07-24

2. Dental Caries Classification with Deep CNN on X-Ray Images;2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON);2023-12-05

3. Improving accuracy of early dental carious lesions detection using deep learning-based automated method;Clinical Oral Investigations;2023-10-31

4. Deep-learning-based automated detection and assistance in the diagnosis of early dental carious lesions;2023-07-07

5. Comparison Between Radiographs, White and Fluorescent Images in the Diagnosis and Treatment Decisions for Occlusal Caries: An Ex Vivo Study;Pesquisa Brasileira em Odontopediatria e Clínica Integrada;2023