Generalizability of Deep Learning Models for Caries Detection in Near-Infrared Light Transillumination Images

Objectives: The present study aimed to train deep convolutional neural networks (CNNs) to detect caries lesions on Near-Infrared Light Transillumination (NILT) imagery obtained either in vitro or in vivo and to assess the models’ generalizability. Methods: In vitro, 226 extracted posterior permanent...

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Bibliographic Details
Main Authors: Agnes Holtkamp, Karim Elhennawy, José E. Cejudo Grano de Oro, Joachim Krois, Sebastian Paris, Falk Schwendicke
Format: Article
Published: MDPI AG 2021-03-01
Series:Journal of Clinical Medicine
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