Cargando…

Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method

This study aimed to evaluate the validity of a deep learning-based convolutional neural network (CNN) for detecting proximal caries lesions on bitewing radiographs. A total of 978 bitewing radiographs, 10,899 proximal surfaces, were evaluated by two endodontists and a radiologist, of which 2,719 sur...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Xiaotong, Guo, Jiachang, Ye, Jiaxue, Zhang, Mingming, Liang, Yuhong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	S. Karger AG 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932834/ https://www.ncbi.nlm.nih.gov/pubmed/36215971 http://dx.doi.org/10.1159/000527418

Ejemplares similares

Deep learning for early dental caries detection in bitewing radiographs
por: Lee, Shinae, et al.
Publicado: (2021)

Dental Students’ Ability to Detect Only-Enamel Proximal Caries on Bitewing Radiographs
por: Elnawawy, Mohamed Samir A, et al.
Publicado: (2022)

Diagnosis of interproximal caries lesions with deep convolutional neural network in digital bitewing radiographs
por: Bayraktar, Yusuf, et al.
Publicado: (2021)

Impact of Noisy Labels on Dental Deep Learning—Calculus Detection on Bitewing Radiographs
por: Büttner, Martha, et al.
Publicado: (2023)

Classification of Approximal Caries in Bitewing Radiographs Using Convolutional Neural Networks
por: Moran, Maira, et al.
Publicado: (2021)

Clinical Analysis of the Diagnostic Accuracy and Time of Execution of a Transillumination Caries Detection Method Compared to Bitewing Radiographs
por: Pelliccioni, Gian Andrea, et al.
Publicado: (2021)

Pen-type laser fluorescence device versus bitewing radiographs for caries detection on approximal surfaces
por: Bizhang, M., et al.
Publicado: (2016)

Assessing the Accuracy of Caries Diagnosis in Bitewing Radiographs Using Different Reproduction Media
por: Adibi, Sadaf, et al.
Publicado: (2018)

Effects of healthcare policy and education on reading accuracy of bitewing radiographs for interproximal caries
por: Sato, Hiroki, et al.
Publicado: (2021)

Assessment of enamel-dentin caries lesions detection using bitewing PSP digital images
por: TORRES, Marianna Guanaes Gomes, et al.
Publicado: (2011)

Caries and Restoration Detection Using Bitewing Film Based on Transfer Learning with CNNs
por: Mao, Yi-Cheng, et al.
Publicado: (2021)

Accuracy of Digital Bitewing Radiography versus Different Views of Digital Panoramic Radiography for Detection of Proximal Caries
por: Abdinian, Mehrdad, et al.
Publicado: (2015)

Comparison of Proximal Caries Detection in Primary Teeth between Laser Fluorescence and Bitewing Radiography: An in vivo Study
por: Mepparambath, Ratheesh, et al.
Publicado: (2014)

Sensitivity and specificity of the ICDAS II system and bitewing radiographs for detecting occlusal caries using the Spectra™ caries detection system as the reference test in children
por: Caceda, Jorge H., et al.
Publicado: (2023)

Importance of bitewing radiographs for the early detection of interproximal carious lesions and the impact on healthcare expenditure in Japan
por: Grieco, Peter, et al.
Publicado: (2022)

The ADEPT study: a comparative study of dentists' ability to detect enamel-only proximal caries in bitewing radiographs with and without the use of AssistDent artificial intelligence software
por: Devlin, Hugh, et al.
Publicado: (2021)

Radiation Exposure and Frequency of Dental, Bitewing and Occlusal Radiographs in Children and Adolescents
por: Schüler, Ina Manuela, et al.
Publicado: (2023)

The Additional Information of Bitewing Radiographs in the Detection of Established or Severe Dentinal Decay in 14-Year Olds: A Cross-Sectional Study in Low-Caries Population
por: Hietala-Lenkkeri, Aija-Maaria, et al.
Publicado: (2014)

DIAGNOSTIC ACCURACY OF INTRAORAL, EXTRAORAL, AND CBCT-GENERATED BITEWINGS FOR DETECTING APPROXIMAL CARIES AND PERIODONTAL BONE LOSS
por: MAGO, J., et al.
Publicado: (2021)

Quality and Findings of Bitewing Radiographs among Twenty-Year-Old Conscripts in Finland
por: Hyvönen, Miika, et al.
Publicado: (2021)

Study Regarding the Optimal Dimension of Intraoral Bitewing Radiographs in Patients with Primary Dentition
por: Diéguez-Pérez, Montserrat, et al.
Publicado: (2022)

Evaluation of alveolar crest bone loss via premolar bitewing radiographs: presentation of a new method
por: Safi, Yaser, et al.
Publicado: (2014)

The effect of bitewing radiography on estimates of dental caries experience among children differs according to their disease experience
por: Foster Page, L. A., et al.
Publicado: (2018)

Morphologic Measurements of Anatomic Landmarks in Pulp Chambers of Human First Molars: A Study of Bitewing Radiographs
por: Khojastepour, Leila, et al.
Publicado: (2008)

Comparison of diagnostic effects of infrared imaging, visual inspection, and bitewing radiography in primary occlusal caries of permanent teeth
por: Saffarpour, Aida, et al.
Publicado: (2023)

Diagnostic Accuracy of Digitized Conventional Radiographs by Camera and Scanner in Detection of Proximal Caries
por: Valizadeh, Solmaz, et al.
Publicado: (2009)

A Novel Deep Learning-Based Approach for Segmentation of Different Type Caries Lesions on Panoramic Radiographs
por: Dayı, Burak, et al.
Publicado: (2023)

The influence of different scan resolutions on the detection of proximal caries lesions
por: Ferreira, Liana Matos, et al.
Publicado: (2019)

Classification of caries in third molars on panoramic radiographs using deep learning
por: Vinayahalingam, Shankeeth, et al.
Publicado: (2021)

Automated Caries Screening Using Ensemble Deep Learning on Panoramic Radiographs
por: Bui, Toan Huy, et al.
Publicado: (2022)

Accuracy of different approaches for detecting proximal root caries lesions in vitro
por: Göstemeyer, Gerd, et al.
Publicado: (2022)

Deep Learning for Caries Detection and Classification
por: Lian, Luya, et al.
Publicado: (2021)

IMPACT OF THE BITEWING RADIOGRAPHY EXAM INCLUSION ON THE PREVALENCE OF DENTAL CARIES IN 12-YEAR-OLD STUDENTS IN THE CITY OF FRANCA, SÃO PAULO, BRAZIL
por: Mestriner, Soraya Fernandes, et al.
Publicado: (2006)

Feasibility of micro-computed tomography to detect and classify proximal caries lesions in vitro
por: Rovaris, Karla, et al.
Publicado: (2018)

Restoring proximal caries lesions conservatively with tunnel restorations
por: Chu, Chun-Hung, et al.
Publicado: (2013)

Costs and Effectiveness of Treatment Alternatives for Proximal Caries Lesions
por: Schwendicke, Falk, et al.
Publicado: (2014)

An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images
por: Oztekin, Faruk, et al.
Publicado: (2023)

Improving the Bond Strength of Radiographically Tagged Caries Lesions In Vitro †
por: Toelle, Sophia, et al.
Publicado: (2020)

Detecting Proximal Caries on Periapical Radiographs Using Convolutional Neural Networks with Different Training Strategies on Small Datasets
por: Lin, Xiujiao, et al.
Publicado: (2022)

Deep learning convolutional neural network algorithms for the early detection and diagnosis of dental caries on periapical radiographs: A systematic review
por: Musri, Nabilla, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_p04nmbmog55nd5nfhga3ibvbj2