Evaluation of the accuracy of detecting C-shaped canals in mandibular second molars identified by cone-beam computed tomography on panoramic radiographs using artificial intelligence algorithms developed with deep learning methods.

OBJECTIVE: The aim of this study is to detect the C-shaped canal formation in mandibular second molars on panoramic radiographs based on different Deep Convolutional Neural Networks (DCNNs) trained using panoramic radiographs. METHOD: This study incl…

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