Automatic Multi-Class Classification of 3D Relationships Between the Mandibular Third Molar and Canal on CBCT Using a Geometry-Aware Network

This automated and accurate classification of M3-MC spatial relationships offers valuable clinical utility, supporting enhanced risk evaluation and optimized surgical planning, and ultimately helping to reduce complications such as inferior alveolar nerve injury.

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Publication Details

Journal
Dentomaxillofacial Radiology
Published
2026-03-24
DOI
https://doi.org/10.1093/dmfr/twag010
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic Multi-Class Classification of 3D Relationships Between the Mandibular Third Molar and Canal on CBCT Using a Geometry-Aware Network

Su Yang, Ji Yong Han, Jo-Eun Kim, Jeong Joon Han et al.
Dentomaxillofacial Radiology
Dental Radiography and Imaging
article

Automatic Multi-Class Classification of 3D Relationships Between the Mandibular Third Molar and Canal on CBCT Using a Geometry-Aware Network

Su Yang, Ji Yong Han, Jo-Eun Kim, Jeong Joon Han, Joo‐Young Park, Kyung-Hoe Huh, Min-Suk Heo, Won-Jin Yi, Hyomin Kim, Sam-Sun Lee
article en

Abstract

This automated and accurate classification of M3-MC spatial relationships offers valuable clinical utility, supporting enhanced risk evaluation and optimized surgical planning, and ultimately helping to reduce complications such as inferior alveolar nerve injury.

Dentomaxillofacial Radiology
Seoul National University of Science and Technology (KR), Seoul National University (KR), Seoul National University Dental Hospital (KR)
Sustainable cities and communities
Openalex Percentile: Top 10%
Dental Radiography and Imaging
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