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

Fully automatic segmentation of the mandible based on convolutional neural networks (CNNs) - Lo Giudice - 2021 - Orthodontics & Craniofacial Research - Wiley Online Library

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

BIR Publications

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

The line plots of dice similarity coefficient score (DSC) from the

PDF] Segmentation of the mandibular canal in cone-beam CT data

PDF) 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

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