Does the FARNet neural network algorithm accurately identify Posteroanterior cephalometric landmarks?
Abstract Background We explored whether the feature aggregation and refinement network (FARNet) algorithm accurately identified posteroanterior (PA) cephalometric landmarks. Methods We identified 47 landmarks on 1,431 PA cephalograms of which 1,177 were used for training, 117 for validation, and 137...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-10-01
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| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-024-01478-z |
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