When a ring with an exposed dental X-ray film mounted thereon is thrown into a first tank filled with a processing solution, the ring is scooped into a space (1127) of a ring-holding portion (112) of a rotating arm (11) through a first opening (1125). As the ring-holding portion ...
Objective The purpose of our study is to verify the diagnostic performance of an artificial intelligence (AI) system for the automatic detection of teeth, caries, implants, restorations, and fixed prosthesis on panoramic radiography. Methodology Panoramic radiographs were obtained from the EPIC and MiP...
A person may be identified by comparison between ante- and post-mortem dental panoramic radiographs (DPR). However, it is difficult to find reference material if the person is unknown. This is often the case when victims of crime or mass disaster are found. Computer vision can be a helpful...
So far, the application of artificial intelligence technology in tooth-related tasks mainly focused on tooth segmentation, and the publicly available datasets are also tooth segmentation data, such as children’s dental panoramic radiographs dataset15, CBCT dental segmentation dataset16, and 3D dental m...
Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: Comparison of machine learning classifier models Objectives This study aimed to develop five different supervised machine learning classifier models using artificial intelligence (AI) techniques and to co.....
We have recently developed a fully automatic landmark annotation (FALA) system to rapidly and accurately place a number of landmark points along the outline of the proximal femur on pelvic radiographs23. For this study, the FALA system was modified and improved to enable the identification of ce...
An automatic and effective tooth isolation method for dental radiographsdoi:10.2478/s11772-012-0051-9PL LinPW HuangY S ChoCH Kuo
Monitoring schemes are designed to evaluate the image quality and correctness of the automatic results at each processing stage. User interaction is requested when errors in intermediate processing steps are encountered.; Experiments on retrieving PM radiographs of 29 subjects from a database of ...
We propose using faster regions with convolutional neural network features (faster R-CNN) in the TensorFlow tool package to detect and number teeth in dental periapical films. To improve detection precisions, we propose three post-processing techniques to supplement the baseline faster R-CNN according...
Automatic detection of teeth and dental treatment patterns on dental panoramic radiographs using deep neural networksHyeRan ChoiThomhert Suprapto SiadariJoEun KimKyungHoe HuhWonJin YiSamSun LeeMinSuk Heo