Cargando…

Performance of deep learning technology for evaluation of positioning quality in periapical radiography of the maxillary canine

OBJECTIVES: The aim of the present study was to create and test an automatic system for assessing the technical quality of positioning in periapical radiography of the maxillary canines using deep learning classification and segmentation techniques. METHODS: We created and tested two deep learning s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mori, Mizuho, Ariji, Yoshiko, Fukuda, Motoki, Kitano, Tomoya, Funakoshi, Takuma, Nishiyama, Wataru, Kohinata, Kiyomi, Iida, Yukihiro, Ariji, Eiichiro, Katsumata, Akitoshi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Singapore 2021
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741711/ https://www.ncbi.nlm.nih.gov/pubmed/34041639 http://dx.doi.org/10.1007/s11282-021-00538-2

Ejemplares similares

A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing
por: Ariji, Yoshiko, et al.
Publicado: (2022)

Detection and classification of unilateral cleft alveolus with and without cleft palate on panoramic radiographs using a deep learning system
por: Kuwada, Chiaki, et al.
Publicado: (2021)

Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus
por: Kuwada, Chiaki, et al.
Publicado: (2022)

Effect of deep transfer learning with a different kind of lesion on classification performance of pre-trained model: Verification with radiolucent lesions on panoramic radiographs
por: Kise, Yoshitaka, et al.
Publicado: (2023)

Magnetic resonance and sonographic imagings of masticatory muscle myalgia in temporomandibular disorder patients
por: Ariji, Yoshiko, et al.
Publicado: (2017)

Effects of 1 year of training on the performance of ultrasonographic image interpretation: A preliminary evaluation using images of Sjögren syndrome patients
por: Kise, Yoshitaka, et al.
Publicado: (2021)

Preliminary Study on the Diagnostic Performance of a Deep Learning System for Submandibular Gland Inflammation Using Ultrasonography Images
por: Kise, Yoshitaka, et al.
Publicado: (2021)

Evaluating the performance of generative adversarial network-synthesized periapical images in classifying C-shaped root canals
por: Yang, Sujin, et al.
Publicado: (2023)

Variance of radiographical alveolar bone mineral density by the anatomical morphology of mandibular bone
por: Katsumata, Akitoshi, et al.
Publicado: (2022)

Extraoral periapical radiography: an alternative approach to intraoral periapical radiography
por: Kumar, Rahul, et al.
Publicado: (2011)

Orthodontic tooth separation activates the hypothalamic area in the human brain
por: Ariji, Yoshiko, et al.
Publicado: (2018)

Application of Deep Learning in the Identification of Cerebral Hemodynamics Data Obtained from Functional Near-Infrared Spectroscopy: A Preliminary Study of Pre- and Post-Tooth Clenching Assessment
por: Takagi, Shinya, et al.
Publicado: (2020)

Accuracy of Periapical Radiography and CBCT in Endodontic Evaluation
por: Lo Giudice, R., et al.
Publicado: (2018)

Bilateral Maxillary and Mandibular Periapical Abscesses
por: Plamoottil, Cherian I, et al.
Publicado: (2022)

Evaluation of surface radiation dose to the thyroid gland and the gonads during routine full-mouth intraoral periapical and maxillary occlusal radiography
por: Sheikh, Soheyl, et al.
Publicado: (2010)

Accuracy of Three Types of Apex Locators versus Digital Periapical Radiography for Working Length Determination in Maxillary Premolars: An In Vitro Study
por: Ramezani, Masoumeh, et al.
Publicado: (2022)

Mandibular Anterior Nutrient Canals in Periapical Radiography in Relation to Hypertension
por: Abdar-Esfahani, Morteza, et al.
Publicado: (2013)

The Extent of the Crack on Artificial Simulation Models with CBCT and Periapical Radiography
por: Wang, Shuang, et al.
Publicado: (2017)

Videofluorographic Evaluation of Mastication and Swallowing of Japanese Udon Noodles and White Rice
por: Iida, Yukihiro, et al.
Publicado: (2010)

Comparative evaluation of immunohistochemistry, histopathology and conventional radiography in differentiating periapical lesions
por: Saraf, Prahlad A, et al.
Publicado: (2014)

In vitro assessment of the accuracy of extraoral periapical radiography in root length determination
por: Nazeer, Muhammad Rizwan, et al.
Publicado: (2016)

Comparison of Cone-Beam Computed Tomography and Periapical Radiography in Predicting Treatment Decision for Periapical Lesions: A Clinical Study
por: Balasundaram, Ashok, et al.
Publicado: (2012)

A Prototype Intraoral Periapical Sensor with High Frame Rates for a 2.5D Periapical Radiography System
por: Liao, Che-Wei, et al.
Publicado: (2019)

Development of Machine-Learning Prediction Programs for Delivering Adaptive Radiation Therapy With Tumor Geometry and Body Shape Changes in Head and Neck Volumetric Modulated Arc Therapy
por: Rachi, Toshiya, et al.
Publicado: (2023)

Development of programs to predict the occurrence of mucositis from digital imaging and communications in medicine data by machine learning in head and neck volumetric modulated radiotherapy
por: Rachi, Toshiya, et al.
Publicado: (2023)

Pulp regeneration by transplantation of dental pulp stem cells in pulpitis: a pilot clinical study
por: Nakashima, Misako, et al.
Publicado: (2017)

Efficacy of therapeutic exercise for temporomandibular disorders as assessed by magnetic resonance imaging: a case report
por: Yamaguchi, Yoshihiro, et al.
Publicado: (2020)

Comparison of Accuracy of Conventional Periapical Radiography and Direct Digital Subtractions Radiography with or without Image Enhancement in the Diagnosis of Density Changes
por: Razi, Tahmineh, et al.
Publicado: (2012)

Detection of Simulated Periapical Lesion in Intraoral Digital Radiography with Different Brightness and Contrast
por: Gaêta-Araujo, Hugo, et al.
Publicado: (2019)

Artificial intelligence in diagnosing dens evaginatus on periapical radiography with limited data availability
por: Choi, Eunhye, et al.
Publicado: (2023)

Periapical cemento-osseous dysplasia of the right maxillary central incisor
por: Lee, Yi-Pang, et al.
Publicado: (2022)

Optimizing the reconstruction filter in cone-beam CT to improve periodontal ligament space visualization: An in vitro study
por: Houno, Yuuki, et al.
Publicado: (2017)

CBCT Evaluation of Periapical Pathologies in Maxillary Posterior Teeth and Their Relationship with Maxillary Sinus Mucosal Thickening
por: Jouhar, Rizwan, et al.
Publicado: (2023)

Diagnostic Accuracy of Cone-Beam Computed Tomography and Periapical Radiography in Internal Root Resorption
por: Madani, Zahrasadat, et al.
Publicado: (2016)

Evaluation of diagnostic accuracy of conventional and digital periapical radiography, panoramic radiography, and cone-beam computed tomography in the assessment of alveolar bone loss
por: Takeshita, Wilton Mitsunari, et al.
Publicado: (2014)

Surgical and Nonsurgical Management of Bilateral Periapical Lesions in the Maxillary Anterior Region
por: Tolasaria, Sweta, et al.
Publicado: (2011)

Orthokeratinized odontogenic cyst at the periapical area of the left maxillary third molar
por: Hwang, Ming-Jay, et al.
Publicado: (2023)

Reliability of Ultrasonography in differentially diagnosing periapical lesions of endodontic origin in comparison with Intra-oral periapical radiography and Cone-beam computed tomography: An in vivo study
por: Das, Snigdho, et al.
Publicado: (2021)

Removing Distortion of Periapical Radiographs in Dental Digital Radiography Using Embedded Markers in an External frame
por: Kafieh, Rahele, et al.
Publicado: (2012)

Diagnostic Value of Cone-Beam Computed Tomography and Periapical Radiography In Detection of Vertical Root Fracture
por: Ezzodini Ardakani, Fatemeh, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_abm33t8j367vgh3pcvsuk6l8s7