Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dionne Deibel"'
Autor:
Shankeeth Vinayahalingam, Steven Kempers, Lorenzo Limon, Dionne Deibel, Thomas Maal, Marcel Hanisch, Stefaan Bergé, Tong Xi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract The objective of this study is to assess the classification accuracy of dental caries on panoramic radiographs using deep-learning algorithms. A convolutional neural network (CNN) was trained on a reference data set consisted of 400 cropped
Externí odkaz:
https://doaj.org/article/caeb7548de31431a93e364bae1311e86
Autor:
Tong Xi, Shankeeth Vinayahalingam, Steven Kempers, Dionne Deibel, Lorenzo Limon, Thomas J.J. Maal, Marcel Hanisch, Stefaan J. Bergé
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Scientific Reports, 11, 1
Scientific Reports, 11
Scientific Reports
Scientific reports, 11(1):12609. Nature Publishing Group
Scientific Reports, 11, 1
Scientific Reports, 11
Scientific Reports
Scientific reports, 11(1):12609. Nature Publishing Group
The objective of this study is to assess the classification accuracy of dental caries on panoramic radiographs using deep-learning algorithms. A convolutional neural network (CNN) was trained on a reference data set consisted of 400 cropped panoramic
Autor:
Tong Xi, Shankeeth Vinayahalingam, Dionne Deibel, David Vandekerckhove, Tae-Geon Kwon, Gilles Claeys, Stefaan J. Bergé
Publikováno v:
Orthodontics & Craniofacial Research
Orthodontics and Craniofacial Research, 23, 3, pp. 357-361
Orthodontics and Craniofacial Research, 23, 357-361
Orthodontics and Craniofacial Research, 23, 3, pp. 357-361
Orthodontics and Craniofacial Research, 23, 357-361
Purpose In asymmetrical mandibles, it is often challenging to identify the mandibular midline. The median lingual foramen (MLF) is located at the midline of the anterior mandible. The purpose of this study is to evaluate the reproducibility of identi
Autor:
Thomas J.J. Maal, Steven Kempers, Shankeeth Vinayahalingam, Marcel Hanisch, Stefaan J. Bergé, Tong Xi, Dionne Deibel, Lorenzo Limon
The objective of this study is to assess the diagnostic accuracy of dental caries on panoramic radiographs using deep-learning algorithms. A convolutional neural network (CNN) was trained on a reference data set consisted of 400 cropped panoramic ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d976f53577a291fbfde0ba5ea925dbb
https://doi.org/10.21203/rs.3.rs-379636/v1
https://doi.org/10.21203/rs.3.rs-379636/v1