Cephalometric landmark detection: Artificial intelligence vs human examination
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Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Western Cape
Abstract
Cephalometric landmark detection is important for accurate diagnosis and treatment planning. The most common cause of random errors, in both computer-aided cephalometry and manual cephalometric analysis, is inconsistency in landmark detection. These methods are time-consuming. As a result, attempts have been made to automate cephalometric analysis, to improve the accuracy and precision of landmark detection whilst also minimizing errors caused by clinician subjectivity.This mini-thesis aimed to determine the precision of two cephalometric landmark identification methods, namely an artificial intelligence programme (BoneFinder®) and a computer-assisted examination software (Dolphin ImagingTM).
Description
Magister Scientiae Dentium - MSc(Dent)
Keywords
Artificial intelligence, Human examination, Machine learning, Radiology, Orthodontics