Deep learning for determining the difficulty of endodontic treatment: a pilot study
Abstract Background To develop and validate a deep learning model for automated assessment of endodontic case difficulty from periapical radiographs. Methods A dataset of 1,386 periapical radiographs was compiled from two clinical sites. Two dentists and two endodontists annotated the radiographs fo...
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| Main Authors: | , , , , , |
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| Format: | Book |
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BMC,
2024-05-01T00:00:00Z.
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