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

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

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

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

Mandibular Canal Enlargement: Clinical and Radiological Characteristics

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

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

A deep learning-based automatic segmentation of zygomatic bones from cone-beam computed tomography images: A proof of concept - ScienceDirect

PDF) Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network

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

The 3D reconstructed whole canal from the ground truth and segmentation

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

Frontiers Automatic segmentation of mandibular canal using transformer based neural networks