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

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 …

The application of Artificial Intelligence in dental healthcare has a very promising role due to
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …

With a wide variety researches on Image segmentation techniques in biomedical and
bioinformatics area, it is important to analyze the performance of these approaches in …

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 …

Dental X-ray image segmentation (DXIS) is an indispensable process in practical dentistry
for diagnosis of periodontitis diseases from an X-ray image. It has been said that DXIS is one …

Dental caries, alternatively called tooth decay is considered as the most general and rapidly
increasing diseases. According to the statistics, nearly 90% of the adults confront the issue …

Oral diseases are very prevalent worldwide and affect people of all ages. Dentists depend
on x-rays to study the characteristics of oral diseases. The segmentation and analysis of …

Chairside manufacturing based on digital image acquisition is gainingincreasing importance
in dentistry. For the standardized application of these methods, it is paramount to have …