Generative-Adversarial-Network-Based Data Augmentation for the Classification of Craniosynostosis
Craniosynostosis is a congenital disease characterized by the premature closure of one or multiple sutures of the infant’s skull. For diagnosis, 3D photogrammetric scans are a radiation-free alternative to computed tomography. However, data is only sparsely available and the role of data augmentatio...
Main Authors: | Kaiser Christian, Schaufelberger Matthias, Kühle Reinald Peter, Wachter Andreas, Weichel Frederic, Hagen Niclas, Ringwald Friedemann, Eisenmann Urs, Engel Michael, Freudlsperger Christian, Nahm Werner |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2022-09-01
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Series: | Current Directions in Biomedical Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/cdbme-2022-1005 |
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