Performance enhancement of deep learning based solutions for pharyngeal airway space segmentation on MRI scans
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Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-70826-4.pdf
Reference32 articles.
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4. Meng, X. et al. Multi-stage U-Net segmentation and automatic measurement of pharyngeal airway based on lateral cephalograms. J. Dent. 136, 104637 (2023).
5. Orhan, K. et al. Ai-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients. Sci. Rep. 12, 11863. https://doi.org/10.1038/s41598-022-15920-1 (2022).
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