Automatic segmentation and labelling of wrist bones in four-dimensional computed tomography datasets via deep learning
Erin Teule, Nikolas Leßmann, Brigitte E.P.A. van der Heijden, Stefan Hummelink
Abstract
This study developed a deep learning model for fully automatic segmentation and labelling of wrist bones from four-dimensional computed tomography (4DCT) scans. This is a crucial step towards implementing 4DCT for diagnosing wrist ligament lesions, reducing time-consuming analysis of extensive data.
Topics & Concepts
WristSegmentationArtificial intelligenceLabellingComputer scienceDeep learningComputed tomographyComputer visionTomographyLigamentPattern recognition (psychology)AnatomyMedicineRadiologyBiologyBiochemistryMedical Imaging and AnalysisArtificial Intelligence in Healthcare and EducationOrthopedic Surgery and Rehabilitation