Optimized Multi-Scale Detection and Numbering of Teeth in Panoramic Radiographs Using DentifyNet

Optimized Multi-Scale Detection and Numbering of Teeth in Panoramic Radiographs Using DentifyNet

Manual tooth detection and numbering in panoramic radiographs are time-consuming and prone to human errors, negatively impacting diagnostic accuracy and treatment outcomes. These challenges necessitate robust automated solutions to improve efficiency and precision in dental imaging. This study intro...

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Bibliographic Details
Main Authors: Salih Taha Alperen Ozcelik, Huseyin Uzen, Abdulkadir Sengur, Muammer Turkoglu, Adalet Celebi, Nebras M. Sobahi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Computer-aided diagnostics
convolutional neural networks
tooth detection
tooth numbering
panoramic radiography
Online Access:https://ieeexplore.ieee.org/document/10935326/
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https://ieeexplore.ieee.org/document/10935326/

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