Clinical trials: Patient With a History of Previous Radiotherapy
Patient With a History of Previous Radiotherapy
Deep Learning for Automatic Segmentation of Bone Sequestra on Orthopantomographs: A UNet-Based Approach
This study developed and evaluated a UNet-based deep learning model for automatic segmentation of bone sequestra on orthopantomographs (OPGs), with the goal of improving diagnostic efficiency and reducing inter-observer…
- Trial name
- Deep Learning (NCT07809048)
- Testing
- Radiographic Evaluation
- Where
- Turkey (Türkiye)
- Volunteers
- 120 people
- Sponsor
- Izmir Katip Celebi University