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.
|Number of pages||2|
|Publication status||Published - 19 Nov 2020|
|Event||BNAIC / BeneLearn 2020 - Leiden, Netherlands|
Duration: 19 Nov 2020 → 20 Nov 2020
|Conference||BNAIC / BeneLearn 2020|
|Period||19/11/20 → 20/11/20|