Dental disease evaluation and clinical assessment are frequently accomplished through
radiographic penetration. The difficulty of obtaining an accurate clinical diagnosis from …

Objectives: Deep learning methods have achieved impressive diagnostic performance in the
field of radiology. The current study aimed to use deep learning methods to detect caries …

Dental caries has been a common health issue throughout the world, which can even lead
to dental pulp and root apical inflammation eventually. Timely and effective treatment of …

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 …

The aim of this study was to evaluate the diagnostic reliability of a web-based artificial
intelligence program for the detection of interproximal caries in bitewing radiographs. Three …

The rise of artificial intelligence has created and facilitated numerous everyday tasks in a
variety of industries, including dentistry. Dentists have utilized X-rays for diagnosing patients' …

Dental caries segmentation based on oral panoramic medical images is a demanding
medical task. However, it is challenging to determine imaging diagnosis results as the actual …

Dental caries is one of the most prevalent and chronic diseases worldwide. Dental X-ray
radiography is considered a standard tool and a valuable resource for radiologists to identify …

The process of analyzing the dental caries from the x-ray images is quite challenging in the
medical field. For the purpose of avoiding the approximation in deciding the diagnosis for …

In this paper, we propose a suitable textural feature for diagnosis of dental caries in digital
radiographs. The dental diagnosis system consists of Laplacian filter for image sharpening …