Detecting Pulp Stones with Automatic Deep Learning in Bitewing Radiographs: A Pilot Study of Artificial Intelligence

Detecting Pulp Stones with Automatic Deep Learning in Bitewing Radiographs: A Pilot Study of Artificial Intelligence

Purpose: This study aims to examine the diagnostic performance of detecting pulp stones with a deep learning model on bite-wing radiographs. Material and Methods: 2203 radiographs were scanned retrospectively. 1745 pulp stones were marked on 1269 bite-wing radiographs with the CranioCatch labeling p...

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Bibliographic Details
Main Authors: Ali Altındağ, Özer Çelik, İbrahim Şevki Bayrakdar, Sultan Uzun
Format: Article
Language:English
Published: Ankara University 2023-04-01
Series:European Annals of Dental Sciences
Subjects:
artificial intelligence
bitewing radiography
deep learning
pulp stone
Online Access:https://dergipark.org.tr/en/download/article-file/2712704

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