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

Par un écrivain mystérieux

Description
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
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Sensors, Free Full-Text
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Figure 7 from Mandibular Canal Enlargement: Clinical and Radiological Characteristics
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
A deep learning-based automatic segmentation of zygomatic bones from cone-beam computed tomography images: A proof of concept - ScienceDirect
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
BIR Publications
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Sensors, Free Full-Text
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
SinusC-Net for automatic classification of surgical plans for maxillary sinus augmentation using a 3D distance-guided network
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
PDF) Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
The boxplots of segmentation performance results of the (a) Dice
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
PDF) Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Whole mandibular canal segmentation using transformed dental CBCT volume in Frenet frame - ScienceDirect
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network, BMC Oral Health
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
A deep learning-based automatic segmentation of zygomatic bones from cone-beam computed tomography images: A proof of concept - ScienceDirect
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
PDF] Segmentation of the mandibular canal in cone-beam CT data
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
depuis par adulte (le prix varie selon la taille du groupe)