Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study.
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DOI: 10.1093/ejo/cjac047
Abstract: OBJECTIVE Tooth segmentation and classification from cone-beam computed tomography (CBCT) is a prerequisite for diagnosis and treatment planning in the majority of digital dental workflows. However, an accurate and efficient segmentation of teeth in the… read more here.
Keywords: segmentation classification; classification; segmentation; classification teeth ... See more keywords