S-Space: Seoul National University
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Automated dental landmark detection and model-analysis measurements on 3D digital dental models using a projection-based two-stage cascade convolutional neural network
Background and objective: Accurate localization of dental landmarks in three-dimensional (3D) digital dental models is crucial for orthodontic diagnosis and treatment planning, particularly for model analysis involving measurements such as arch length discrepancy (ALD). Such model analysis is time-c
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