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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
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Series: | Journal of Clinical Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0383/10/7/1496 |