Ceph-Net: automatic detection of cephalometric landmarks on scanned lateral cephalograms from children and adolescents using an attention-based stacked regression network
Abstract Background The success of cephalometric analysis depends on the accurate detection of cephalometric landmarks on scanned lateral cephalograms. However, manual cephalometric analysis is time-consuming and can cause inter- and intra-observer variability. The purpose of this study was to autom...
Main Authors: | Su Yang, Eun Sun Song, Eun Seung Lee, Se-Ryong Kang, Won-Jin Yi, Seung-Pyo Lee |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-10-01
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Series: | BMC Oral Health |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12903-023-03452-7 |
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