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

Computer vision falls under the broad umbrella of artificial intelligence that mimics human
vision and plays a vital role in dental imaging. Dental practitioners visualize and interpret …

Objectives Pulpal calcifications are discrete hard calcified masses of varying sizes in the
dental pulp cavity. This study is aimed at measuring the performance of the YOLOv4 deep …

Panoramic Dental Radiography (PDR) image processing is one of the most extensively
used manual methods for gender determination in forensic medicine. With the assistance of …

This study aims to evaluate the effectiveness of employing a deep learning approach for the
automated detection of pulp stones in panoramic imaging. A comprehensive dataset …

Tooth segmentation is a key step for computer aided diagnosis of dental diseases.
Numerous machine learning models have been employed for tooth segmentation on dental …

Under extreme conditions postmortem, dental radiography examinations can play an
essential role in individual identification. In forensic odontology, individual identification …

Forensic gender identification based on teeth is needed to identify incomplete victims, only
bones and teeth. Previous studies identified gender by manually or semi-automatically …

Early identification of skin cancer is crucial to increasing the chances of a cure and reducing
mortality rates. This research aims to develop a method for identifying skin cancer using …

Dental X-Ray (DXR) image segmentation has gained a great research interest due to its
significance in various dental related applications such as Dental Diseases Detection …