Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images
Abstract The detection of maxillary sinus wall is important in dental fields such as implant surgery, tooth extraction, and odontogenic disease diagnosis. The accurate segmentation of the maxillary sinus is required as a cornerstone for diagnosis and treatment planning. This study proposes a deep le...
| Published in: | Scientific Reports |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-08-01
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| Online Access: | https://doi.org/10.1038/s41598-022-18436-w |