Classification of Dental Radiographs Using Deep Learning

Objectives: To retrospectively assess radiographic data and to prospectively classify radiographs (namely, panoramic, bitewing, periapical, and cephalometric images), we compared three deep learning architectures for their classification performance. Methods: Our dataset consisted of 31,288 panorami...

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Bibliographic Details
Main Authors: Jose E. Cejudo, Akhilanand Chaurasia, Ben Feldberg, Joachim Krois, Falk Schwendicke
Format: Article
Published: MDPI AG 2021-04-01
Series:Journal of Clinical Medicine
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