Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images
CONCLUSIONS: Models based on nnU-Net v2 demonstrate the ability to segment the MS autonomously and accurately in CBCT images.PMID:38502963 | DOI:10.1093/dmfr/twae012
Source: Dentomaxillofacial Radiology - Category: Radiology Authors: Ibrahim Sevki Bayrakdar Nermin Sameh Elfayome Reham Ashraf Hussien Ibrahim Tevfik Gulsen Alican Kuran Ihsan Gunes Alwaleed Al-Badr Ozer Celik Kaan Orhan Source Type: research
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