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A Deep Learning Approach to Segment and Classify C-Shaped Canal Morphologies in Mandibular Second Molars Using Cone-beam Computed Tomography

Adithya A. Sherwood, Adithya A. Sherwood, I Sherwood, I Sherwood, Frank Setzer, Sheela Devi K, Jasmin V. Shamili, Caroline John, Falk Schwendicke

2021Journal of Endodontics87 citationsDOI

Topics & Concepts

Cone beam computed tomographyVoxelSegmentationMolarMathematicsArtificial intelligenceMandibular canalResidualPost hocRadiographySørensen–Dice coefficientNuclear medicineComputer scienceOrthodonticsComputed tomographyMedicineImage segmentationRadiologyAlgorithmDental Radiography and ImagingEndodontics and Root Canal TreatmentsOral and Maxillofacial Pathology
A Deep Learning Approach to Segment and Classify C-Shaped Canal Morphologies in Mandibular Second Molars Using Cone-beam Computed Tomography | Litcius