4.0 Article

Deep-learning approach for caries detection and segmentation on dental bitewing radiographs

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Dentistry, Oral Surgery & Medicine

Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs

Andre Ferreira Leite et al.

Summary: The study evaluated the performance of a new AI-driven tool for tooth detection and segmentation on panoramic radiographs, demonstrating highly accurate and fast results compared to manual segmentation. The AI tool showed a sensitivity of 98.9% and a precision of 99.6% for tooth detection, with lower canines presenting the best segmentation results. The method also significantly reduced the time consumed for manual segmentation by 67%.

CLINICAL ORAL INVESTIGATIONS (2021)

Article Dentistry, Oral Surgery & Medicine

Deep learning object detection of maxillary cyst-like lesions on panoramic radiographs: preliminary study

Hirofumi Watanabe et al.

Summary: This study utilized deep learning object detection technology to examine the performance of detecting and identifying maxillary cyst-like lesions on panoramic radiography. The results showed that the recall, precision, and F-1 score for detecting maxillary cysts were approximately 74.6%-77.1%, 89.8%-90.0%, and 81.5%-83.1% for the testing 1 and testing 2 datasets. The sensitivity was higher for identifying radicular cysts than for other lesions, especially in the anterior regions.

ORAL RADIOLOGY (2021)

Article Dentistry, Oral Surgery & Medicine

Automated feature detection in dental periapical radiographs by using deep learning

Hassan Aqeel Khan et al.

Summary: This study aimed to investigate automated feature detection, segmentation, and quantification in periapical radiographs using deep learning techniques. Results showed that among existing architectures, U-Net and its variants delivered the best performance, with interradicular radiolucencies being the most challenging to segment.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY (2021)

Article Dentistry, Oral Surgery & Medicine

Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs

Su-Jin Jeon et al.

Summary: The study evaluated the use of a convolutional neural network system for predicting C-shaped canals in mandibular second molars on panoramic radiographs, showing a high accuracy and sensitivity of the CNN model in predicting C-shaped canals.

DENTOMAXILLOFACIAL RADIOLOGY (2021)

Article Dentistry, Oral Surgery & Medicine

Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans

Kaan Orhan et al.

Summary: The study evaluated the diagnostic performance of artificial intelligence (AI) application in evaluating impacted third molar teeth in Cone-beam Computed Tomography (CBCT) images. AI showed high accuracy in detecting impacted third molars and their relationship with anatomical structures, with good agreement between AI and human observers in various aspects such as root/canal numbers and relationship with adjacent structures.

JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY (2021)

Article Dentistry, Oral Surgery & Medicine

Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs

Munevver Coruh Kilic et al.

Summary: This study evaluated the use of a deep-learning approach for automated detection and numbering of deciduous teeth in children as depicted on panoramic radiographs. The AI algorithm showed high sensitivity, precision, and F1 score in successfully detecting and numbering the deciduous teeth, demonstrating its potential as a promising tool in dental radiography automation and forensic identification.

DENTOMAXILLOFACIAL RADIOLOGY (2021)

Article Dentistry, Oral Surgery & Medicine

A deep learning algorithm proposal to automatic pharyngeal airway detection and segmentation on CBCT images

Cagla Sin et al.

Summary: The study evaluated an automatic segmentation algorithm for pharyngeal airway in CBCT images using a deep learning AI system. The AI algorithm achieved a high accuracy in segmenting the pharyngeal airway, providing a useful tool for quick and easy calculation of airway volume for clinical applications.

ORTHODONTICS & CRANIOFACIAL RESEARCH (2021)

Article Dentistry, Oral Surgery & Medicine

An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs

Yasin Yasa et al.

Summary: The study proposed an automatic detection system for numbering teeth in bitewing images using a faster Region-based Convolutional Neural Networks (R-CNN) method, achieving high accuracy and sensitivity in the process.

ACTA ODONTOLOGICA SCANDINAVICA (2021)

Review Dentistry, Oral Surgery & Medicine

The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

Kuofeng Hung et al.

DENTOMAXILLOFACIAL RADIOLOGY (2020)

Article Dentistry, Oral Surgery & Medicine

Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography

Motoki Fukuda et al.

ORAL RADIOLOGY (2020)

Article Dentistry, Oral Surgery & Medicine

Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs

Jeong-Hee Lee et al.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY (2020)

Article Dentistry, Oral Surgery & Medicine

Evaluation of artificial intelligence for detecting periapical pathosis on cone-beam computed tomography scans

K. Orhan et al.

INTERNATIONAL ENDODONTIC JOURNAL (2020)

Article Dentistry, Oral Surgery & Medicine

Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study

Falk Schwendicke et al.

JOURNAL OF DENTISTRY (2020)

Article Dentistry, Oral Surgery & Medicine

Artificial intelligence in orthodontics Evaluation of a fully automated cephalometric analysis using a customized convolutional neural network

Felix Kunz et al.

JOURNAL OF OROFACIAL ORTHOPEDICS-FORTSCHRITTE DER KIEFERORTHOPADIE (2020)

Article Dentistry, Oral Surgery & Medicine

Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs

Motoki Fukuda et al.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY (2020)

Article Dentistry, Oral Surgery & Medicine

Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network

Odeuk Kwon et al.

DENTOMAXILLOFACIAL RADIOLOGY (2020)

Article Medicine, General & Internal

Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs

Hyunwoo Yang et al.

JOURNAL OF CLINICAL MEDICINE (2020)

Article Biochemistry & Molecular Biology

Deep Neural Networks for Dental Implant System Classification

Shintaro Sukegawa et al.

BIOMOLECULES (2020)

Article Medicine, General & Internal

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

Michael G. Endres et al.

DIAGNOSTICS (2020)

Article Computer Science, Interdisciplinary Applications

Web-based fully automated cephalometric analysis by deep learning

Hannah Kim et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)

Article Dentistry, Oral Surgery & Medicine

Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs

Chiaki Kuwada et al.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY (2020)

Article Dentistry, Oral Surgery & Medicine

Detecting caries lesions of different radiographic extension on bitewings using deep learning

Anselmo Garcia Cantu et al.

JOURNAL OF DENTISTRY (2020)

Review Medicine, General & Internal

Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review

Maria Prados-Privado et al.

JOURNAL OF CLINICAL MEDICINE (2020)

Article Medical Informatics

Dental caries diagnosis in digital radiographs using back-propagation neural network

V. Geetha et al.

HEALTH INFORMATION SCIENCE AND SYSTEMS (2020)

Article Dentistry, Oral Surgery & Medicine

A comparison of diagnosis of early stage interproximal caries with bitewing radiographs and periapical images using consensus reference

Noriaki Takahashi et al.

DENTOMAXILLOFACIAL RADIOLOGY (2019)

Article Dentistry, Oral Surgery & Medicine

Deep Learning for the Radiographic Detection of Apical Lesions

Thomas Ekert et al.

JOURNAL OF ENDODONTICS (2019)

Article Multidisciplinary Sciences

Deep Learning for the Radiographic Detection of Periodontal Bone Loss

Joachim Krois et al.

SCIENTIFIC REPORTS (2019)

Article Multidisciplinary Sciences

Automated detection of third molars and mandibular nerve by deep learning

Shankeeth Vinayahalingam et al.

SCIENTIFIC REPORTS (2019)

Article Dentistry, Oral Surgery & Medicine

Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique

Yoshiko Ariji et al.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY (2019)

Article Dentistry, Oral Surgery & Medicine

Caries Detection with Near-Infrared Transillumination Using Deep Learning

F. Casalegno et al.

JOURNAL OF DENTAL RESEARCH (2019)

Article Dentistry, Oral Surgery & Medicine

A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography

Teruhiko Hiraiwa et al.

DENTOMAXILLOFACIAL RADIOLOGY (2019)

Article Dentistry, Oral Surgery & Medicine

Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

Jae-Hong Lee et al.

JOURNAL OF DENTISTRY (2018)

Review Oncology

Artificial intelligence in radiology

Ahmed Hosny et al.

NATURE REVIEWS CANCER (2018)

Review Dentistry, Oral Surgery & Medicine

Global epidemiology of dental caries and severe periodontitis - a comprehensive review

Jo E. Frencken et al.

JOURNAL OF CLINICAL PERIODONTOLOGY (2017)

Article Dentistry, Oral Surgery & Medicine

An artificial multilayer perceptron neural network for diagnosis of proximal dental caries

Karina Lopes Devito et al.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY AND ENDODONTOLOGY (2008)

Article Engineering, Biomedical

An artificial neural network for detection of simulated dental caries

Suwadee Kositbowornchai et al.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2006)