Using computer vision through artificial intelligence (AI) is one of the main technological
advances in dentistry. However, the existing literature on the practical application of AI for …

To propose an algorithm for automatic localization of 3D cephalometric landmarks on CBCT
data, those are useful for both cephalometric and upper airway volumetric analysis. 20 …

Purpose The objective of the present study is to put forward a novel automatic segmentation
algorithm to segment pharyngeal and sino-nasal airway subregions on 3D CBCT imaging …

In this article we investigate the efficiency of deep learning algorithms in solving the task of
detecting anatomical reference points on radiological images of the head in lateral …

Cephalometric analysis is basic assessment aid for orthodontics, oral & maxillofacial surgery
and treatment planning. The identification of landmark locations on lateral cephalograms …

Objectives The objectives of this study are to explore and evaluate the automation of
anatomical landmark localization in cephalometric images using machine learning …

Finding areas in the image where the subsequent processing of the features concentrates is
known as Region of Interest (ROI) extraction. Utilizing ROI helps speed up processing by …

Introduction Two-dimensional cephalometric image analysis plays a crucial role in
orthodontic diagnosis and treatment planning. While deep learning-based algorithms have …

Accurate identification of anatomical structures from medical imaging data is a significant
and critical function in the medical domain. Past studies in this context have mainly utilized …

Aim The aim of the study was to assess the reliability and validity of cephalometric variables
from MicroScribe-3DXL. Materials and methods Seven cephalometric variables (facial …