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Author

Hande Kazan

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Open access Sep 2026

CRANIOSEG: Deep Learning-Based Automated Segmentation of Craniomaxillofacial Anatomical Structures on Cone-Beam Computed Tomography.

This study demonstrates the technical feasibility of simultaneously segmenting 27 craniomaxillofacial anatomical structures from CBCT images using a single nnU-Net v2 model on a selected internal dataset and achieves strong segmentation performance.

I. Bayrakdar, Alican Kuran, Mehmet Uğurlu et al. · 0 citations

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