Deep learning-based prediction of mandibular growth trend in children with anterior crossbite using cephalometric radiographs
Abstract Background It is difficult for orthodontists to accurately predict the growth trend of the mandible in children with anterior crossbite. This study aims to develop a deep learning model to automatically predict the mandibular growth result into normal or overdeveloped using cephalometric ra...
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Main Authors: | Jia-Nan Zhang (Author), Hai-Ping Lu (Author), Jia Hou (Author), Qiong Wang (Author), Feng-Yang Yu (Author), Chong Zhong (Author), Cheng-Yi Huang (Author), Si Chen (Author) |
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Format: | Book |
Published: |
BMC,
2023-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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