Learning Cephalometric Landmarks for Diagnostic Features Using Regression Trees
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DOI: 10.3390/bioengineering9110617
Abstract: Lateral cephalograms provide important information regarding dental, skeletal, and soft-tissue parameters that are critical for orthodontic diagnosis and treatment planning. Several machine learning methods have previously been used for the automated localization of diagnostically relevant… read more here.
Keywords: learning cephalometric; regression; diagnostic features; landmarks diagnostic ... See more keywords