A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification
Abstract Accurate identification and localization of cephalometric landmarks are crucial for diagnosing and quantifying anatomical abnormalities in orthodontics. Traditional manual annotation of these landmarks on lateral cephalograms (LCRs) is time-consuming and subject to inter- and intra-expert v...
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| Автори: | , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Nature Portfolio
2025-07-01
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| Серія: | Scientific Data |
| Онлайн доступ: | https://doi.org/10.1038/s41597-025-05542-3 |
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