Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic review and meta-analysis

• Main Authors: Jimmy Londono (Author), Shohreh Ghasemi (Author), Altaf Hussain Shah (Author), Amir Fahimipour (Author), Niloofar Ghadimi (Author), Sara Hashemi (Author), Zohaib Khurshid (Author), Mahmood Dashti (Author)
• Format: Book
• Published: Elsevier, 2023-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Introduction: Cephalometry is the study of skull measurements for clinical evaluation, diagnosis, and surgical planning. Machine learning (ML) algorithms have been used to accurately identify cephalometric landmarks and detect irregularities related to orthodontics and dentistry. ML-based cephalomet...