Compared with the rapidly growing artificial intelligence (AI) research in other branches of
healthcare, the pace of developing AI capacities in dental care is relatively slow. Dental care …

Accurate tooth identification and delineation in dental CBCT images are essential in clinical
oral diagnosis and treatment. Teeth are positioned in the alveolar bone in a particular order …

Convolutional neural networks (CNNs) are used in many areas of computer vision, such as
object tracking and recognition, security, military, and biomedical image analysis. This …

Segmentation of an individual tooth in dental radiographs has great significance in the
process of orthodontics surgeries and dentistry. Machine learning techniques, especially …

With the recent development of medical imaging equipment, image segmentation
techniques for medical diagnosis have become important role as digital image acquisition …

In the field of dental image processing and analysis, automatic segmentation results of
dental hard tissue can provide a useful reference for the clinical diagnosis and treatment …

Edge detection plays an important role in digital image processing applications. The main
aim of edge detection is to identify the discontinuity in images, where the sharp changes in …

Today digital medical imaging starts to be more introduced in the daily practice for clinical,
educational, research uses. The work reported in this paper is done within the context of the …

This paper is made within the context of the research UEFISCDI project no. 31/2014,“AIMMS-
Application for Using Image Data Mining and 3D Modeling in Dental Screening”. The project …

Cochlea Implant (CI) planning is usually based on preoperative obtained CT or MRI data,
visualising risk structures in the petrosal bone. In the past years, Digital Volume Tomography …