A two-stage deep-learning model for determination of the contact of mandibular third molars with the mandibular canal on panoramic radiographs

A two-stage deep-learning model for determination of the contact of mandibular third molars with the mandibular canal on panoramic radiographs

Abstract Objectives This study aimed to assess the accuracy of a two-stage deep learning (DL) model for (1) detecting mandibular third molars (MTMs) and the mandibular canal (MC), and (2) classifying the anatomical relationship between these structures (contact/no contact) on panoramic radiographs....

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Bibliographic Details
Main Authors: Parisa Soltani, Fatemeh Sohrabniya, Hossein Mohammad-Rahimi, Mojdeh Mehdizadeh, Seyed Mohammadreza Mousavi, Amirhossein Moaddabi, Seyed Mohammadmahdi Mousavi, Gianrico Spagnuolo, Amirmohammad Yavari, Falk Schwendicke
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Oral Health
Subjects:
Artificial Intelligence
Deep learning
Molar, Third
Mandibular canal
Online Access:https://doi.org/10.1186/s12903-024-04850-1
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https://doi.org/10.1186/s12903-024-04850-1

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