Deep learning based quantitative cervical vertebral maturation analysis
Abstract Objectives This study aimed to enhance clinical diagnostics for quantitative cervical vertebral maturation (QCVM) staging with precise landmark localization. Existing methods are often subjective and time-consuming, while deep learning alternatives withstand the complex anatomical variation...
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| Main Authors: | Fulin Jiang, Abbas Ahmed Abdulqader, Yan Yan, Fangyuan Cheng, Tao Xiang, Jinghong Yu, Juan Li, Yong Qiu, Xin Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-03-01
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| Series: | Head & Face Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13005-025-00498-6 |
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