Automated Impaction Angulation Measurement of Mandibular Third Molars for Winter’s Classification Using Deep Learning

• Published in: Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 29; no. 2; pp. 325 - 336
• Main Authors: Ali, Md. Anas, Fujita, Daisuke, Kishimoto, Hiromitsu, Makihara, Yuna, Noguchi, Kazuma, Kobashi, Syoji
• Format: Journal Article
• Language: English
• Published: Tokyo Fuji Technology Press Ltd 20.03.2025; 富士技術出版株式会社; Fuji Technology Press Co. Ltd
• Subjects: Algorithms; Classification; Deep learning; key point detection; Machine learning; Misalignment; orthopantomogram (OPG); teeth segmentation; winter’s classification of teeth impaction

Impacted third molar extraction, particularly of mandibular teeth, is a common procedure performed to alleviate pain, infection, and misalignment. Accurate diagnosis and classification of impaction types are crucial for effective treatment planning. This study introduces a novel algorithm for automa...