Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network
Abstract Objective The rapid development of artificial intelligence technologies for medical imaging has recently enabled automatic identification of anatomical landmarks on radiographs. The purpose of this study was to compare the results of an automatic cephalometric analysis using convolutional n...
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Main Authors: | Sangmin Jeon (Author), Kyungmin Clara Lee (Author) |
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Format: | Book |
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SpringerOpen,
2021-05-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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