Pulp calcification identification on cone beam computed tomography: an artificial intelligence pilot study
Abstract Background This study aims to verify the effectiveness of a deep neural network (DNN) in automatically identifying pulp calcification on cone beam computed tomography (CBCT) images. Methods This study retrospectively analysed 150 CBCT images. Pulp calcification was identified and manually a...
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Main Authors: | , , , , , , |
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Format: | Book |
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BMC,
2024-09-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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Connect to this object online.3rd Floor Main Library
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A1234.567 |
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