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

This paper represents the first survey on the application of AI techniques for the analysis of
biomedical images with forensic human identification purposes. Human identification is 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 …

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 …

Many people are affected by dental problems that have serious long-term effects. Thus, oral
hygiene maintenance is necessary to prevent dry mouth tooth decay, bad breath, and cold …

Objectives This study developed and validated a deep learning-based method to
automatically segment and number teeth in panoramic radiographs across primary, mixed …

Dental panoramic X-ray imaging is a popular diagnostic method owing to its very small dose
of radiation. For an automated computer-aided diagnosis system in dental clinics, automatic …

Human identification is an important task in mass disaster and criminal investigations.
Although several automatic dental identification systems have been proposed, accurate and …

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 …