Fully automated deep learning framework for detection and classification of impacted mandibular third molars in panoramic radiographs
Introduction: Mandibular third molars (MTMs) are the most frequently impacted teeth, making their detection and classification essential before surgical extraction. This study aims to develop and assess the accuracy of a deep learning model for detecting and classifying impacted mandibular third mol...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | Journal of Oral Medicine and Oral Surgery |
| Subjects: | |
| Online Access: | https://www.jomos.org/articles/mbcb/full_html/2025/01/mbcb240248/mbcb240248.html |
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