Automated Detection, Localization, and Severity Assessment of Proximal Dental Caries from Bitewing Radiographs Using Deep Learning

Automated Detection, Localization, and Severity Assessment of Proximal Dental Caries from Bitewing Radiographs Using Deep Learning

<b>Background/Objectives</b>: Dental caries is a widespread chronic infection, affecting a large segment of the population. Proximal caries, in particular, present a distinct obstacle for early identification owing to their position, which hinders clinical inspection. Radiographic assess...

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Bibliographic Details
Main Authors: Mashail Alsolamy, Farrukh Nadeem, Amr Ahmed Azhari, Walaa Magdy Ahmed
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
Subjects:
proximal caries
YOLO network
diagnosis
artificial intelligence
bitewing radiographs
instance segmentation
Online Access:https://www.mdpi.com/2075-4418/15/7/899
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