HIGHLIGHTS
SUMMARY
Individual teeth segmentation has been achieved through a geometric approach and a machine_learning approach. Trials to segment teeth using machine_learning are challenging because of the high variability of teeth shapes among humans and the necessity to develop a trained network and a machine_learning model capable of segmenting teeth with high accuracy. Oktay applied object detection machine_learning algorithms on panoramic 2D X-ray images, whereby each tooth was labeled by a bounding box belonging to a specific class of teeth: molars, premolars, and anterior teeth (canines and incisors). To apply semantic segmentation machine_learning, the authors . . .
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