Large Cone Beam CT SCan Image Quality Improvement Using a Deep Learning U-Net Model
Large Cone Beam CT SCan Image Quality Improvement Using a Deep Learning U-Net Model
Samenvatting
Cone beam CT scanners use much less radiation than to normal CT scans. However, compared to normal CT scans the images are noisy, showing several artifacts. The UNet Convolutional Neural Network may provide a way to reconstruct the a CT image from cone beam scans.
| Organisatie | Hogeschool van Amsterdam |
| Gepubliceerd in | BNAIC / BeneLearn 2020 Leiden, Netherlands, NLD |
| Datum | 2020-11-19 |
| Type | Conferentiebijdrage |
| Taal | Engels |
