Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs

Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs

<b>Background/Objectives:</b> The integration of digital imaging technologies in dentistry has revolutionized diagnostic and treatment practices, with panoramic radiographs playing a crucial role in detecting impacted teeth. Manual interpretation of these images is time consuming and err...

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Bibliographic Details
Main Authors: Deniz Bora Küçük, Andaç Imak, Salih Taha Alperen Özçelik, Adalet Çelebi, Muammer Türkoğlu, Abdulkadir Sengur, Deepika Koundal
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Diagnostics
Subjects:
impacted tooth detection
YOLO
transformer
super resolution
Weighted Boxes Fusion
Online Access:https://www.mdpi.com/2075-4418/15/3/244
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