Reinald Kuehle, Friedemann Ringwald, Frederic Bouffleur, Niclas Hagen, Matthias Schaufelberger, Werner Nahm, Jürgen Hoffmann, Christian Freudlsperger, Michael Engel, Urs Eisenmann
Positional cranial deformities are a common finding in toddlers, yet differentiation from craniosynostosis can be challenging. The aim of this study was to train convolutional neural networks (CNNs) to classify craniofacial deformities based on 2D images generated using photogrammetry as a radiation-free imaging technique. A total of 487 patients with photogrammetry scans were included in this retrospective cohort study: children with craniosynostosis (n = 227), positional deformities (n = 206), and healthy children (n = 54)...
November 14, 2023: Journal of Clinical Medicine