Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method
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DOI: 10.1159/000527418
Abstract: This study aimed to evaluate the validity of a deep learning-based convolutional neural network (CNN) for detecting proximal caries lesions on bitewing radiographs. A total of 978 bitewing radiographs, 10,899 proximal surfaces, were evaluated by… read more here.
Keywords: neural network; network; proximal caries; deep learning ... See more keywords
Diagnosis of Interproximal Caries Lesions in Bitewing Radiographs Using a Deep Convolutional Neural Network-Based Software
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DOI: 10.1159/000527491
Abstract: The aim of this study was to evaluate the diagnostic reliability of a web-based artificial intelligence program for the detection of interproximal caries in bitewing radiographs. Three hundred bitewing radiographs of patients were subjected to… read more here.
Keywords: software; values considered; model; based software ... See more keywords