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 …

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 …

Objective: This study evaluated the use of a deep-learning approach for automated
detection and numbering of deciduous teeth in children as depicted on panoramic …

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 Radiological examination has an important place in dental practice, and it is
frequently used in intraoral imaging. The correct numbering of teeth on radiographs is a …

Analysis of dental radiographs and images is an important and common part of the
diagnostic process in daily clinical practice. During the diagnostic process, the dentist must …

Dental periapical X-rays are used as a popular tool by dentists for diagnosis. To provide
dentists with diagnostic support, in this paper, we achieve automated teeth recognition of …

Objectives: The present study aimed to evaluate the performance of a Faster Region-based
Convolutional Neural Network (R-CNN) algorithm for tooth detection and numbering on …

Dental panoramic radiographic images are commonly used as biometrics for human
identification. In this study, a novel method is presented for identifying humans by matching …