Convolutional neural networks in orthodontics: a review
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 …
object tracking and recognition, security, military, and biomedical image analysis. This …
Cephalometric landmark annotation using transfer learning: Detectron2 and YOLOv8 baselines on a diverse cephalometric image dataset
Background Cephalometric landmark annotation is a key challenge in radiographic
analysis, requiring automation due to its time-consuming process and inherent subjectivity …
analysis, requiring automation due to its time-consuming process and inherent subjectivity …
Landmark annotation through feature combinations: a comparative study on cephalometric images with in-depth analysis of model's explainability
P S. Murthy, S Deshmukh - Dentomaxillofacial Radiology, 2024 - academic.oup.com
Objectives The objectives of this study are to explore and evaluate the automation of
anatomical landmark localization in cephalometric images using machine learning …
anatomical landmark localization in cephalometric images using machine learning …
An approach for efficient detection of cephalometric landmarks
T Le-Tien, H Pham-Chi - Procedia Computer Science, 2014 - Elsevier
In this paper, a method is developed for the automated identification of cephalometric
landmarks in orthodontics. The process of soft tissue edge detection is divided into two …
landmarks in orthodontics. The process of soft tissue edge detection is divided into two …