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Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network

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Mandibular Canal Enlargement: Clinical and Radiological Characteristics. - Abstract - Europe PMC

Comparison of 2D, 2.5D, and 3D segmentation networks for maxillary sinuses and lesions in CBCT images, BMC Oral Health

PDF) Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes

A 3D visualisation of a CBCT scan containing the mandibular canal

Comparison of 2D, 2.5D, and 3D segmentation networks for maxillary sinuses and lesions in CBCT images, BMC Oral Health

Frontiers Automatic segmentation of mandibular canal using transformer based neural networks

Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network, BMC Oral Health

PDF) Deep learning for detection and 3D segmentation of maxillofacial bone lesions in cone beam CT

Whole mandibular canal segmentation using transformed dental CBCT volume in Frenet frame - ScienceDirect

PDF) Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network

Sensors, Free Full-Text

PDF) Automated tracking of the mandibular canal in CBCT images using matching and multiple hypotheses methods