In dentistry, practitioners interpret various dental X-ray imaging modalities to identify tooth-
related problems, abnormalities, or teeth structure changes. Another aspect of dental …

The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …

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 …

Purpose An algorithm for diagnostic system with neural network is developed for diagnosis
of dental caries in digital radiographs. The diagnostic performance of the designed system is …

Objectives To evaluate a fully deep learning mask region-based convolutional neural
network (R-CNN) method for automated tooth segmentation using individual annotation of …

Computer-assisted analysis of dental radiograph in dentistry is getting increasing attention
from the researchers in recent years. This is mainly because it can successfully reduce …

In this article, we apply the deep learning technique to medical field for the teeth detection
and classification of dental periapical radiographs, which is important for the medical curing …

Objectives It is with a great prospect to develop an auxiliary diagnosis system for dental
periapical radiographs based on deep convolutional neural networks (CNNs), and the …

Apical lesions, the general term for chronic infectious diseases, are very common dental
diseases in modern life, and are caused by various factors. The current prevailing …

Automating the process of postmortem identification of individuals using dental records is
receiving increased attention. Teeth segmentation from dental radiographic films is an …