A deep learning based automated maxillary sinus segmentation and bone grafts analysis in CBCT images
Fan Yang, Xing Wu, Yukang Zhang, Xinrui Lang, Ying Yang, Leizi Ma, Yude Ding, Linhong Wang · 2025
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Description
Checking how much bone grows after a sinus lift is slow when done by hand on dental scans. Yang and co-authors test a fully automatic deep learning system on paired cone-beam scans from 85 patients. The system pairs a 2D network for the sinus outline with a 3D network for the upper jaw, then aligns the scans to measure change.
Its overlap score reached 93.2 percent, and its bone volume readings matched hand measures closely. The method also ran more than twenty times faster than manual work. The authors say it could standardize how clinics track bone graft growth over time, including cases with implants placed at once.
Catalog record
| CREATOR | Fan Yang, Xing Wu, Yukang Zhang, Xinrui Lang, Ying Yang, Leizi Ma, Yude Ding, Linhong Wang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 80 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |