A two-stage deep learning architecture for radiographic staging of periodontal bone loss
Abstract Background Radiographic periodontal bone loss is one of the most important basis for periodontitis staging, with problems such as limited accuracy, inconsistency, and low efficiency in imaging diagnosis. Deep learning network may be a solution to improve the accuracy and efficiency of perio...
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| Main Authors: | , , , , , |
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| Format: | Book |
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BMC,
2022-04-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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