Deep learning-based craniosynostosis classification via suture segmentation and mask-weighted classification
Introduction Early diagnosis of craniosynostosis (CSO) is critical to preventing neurological complications, yet skull X-ray interpretation remains subjective, and existing deep learning models often rely on secondary cranial deformations rather than the primary pathology. Methods To address this limitation, we propose...