Automated classification of mandibular canal in relation to third molar using CBCT images [version 1; peer review: 2 approved]

Automated classification of mandibular canal in relation to third molar using CBCT images [version 1; peer review: 2 approved]

Background Dental radiology has significantly benefited from cone-beam computed tomography (CBCT) because of its compact size and low radiation exposure. Canal tracking is an important application of CBCT for determining the relationship between the inferior alveolar nerve and third molar. Usually,...

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Bibliographic Details
Main Authors: Yogesh Chhaparwal, Veena Mayya, Sharath S, Neil Abraham Barnes, Roopitha C H, Winniecia Dkhar
Format: Article
Language:English
Published: F1000 Research Ltd 2024-09-01
Series:F1000Research
Subjects:
Artificial Intelligence; CBCT; CNN; Mandibular Canal; Machine Learning; Third Molar
eng
Online Access:https://f1000research.com/articles/13-995/v1
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