A stacked dense denoising–segmentation network for undersampled tomograms and knowledge transfer using synthetic tomograms
(2021)
Journal Article
Over recent years, many approaches have been proposed for the denoising or semantic segmentation of X-ray computed tomography (CT) scans. In most cases, high-quality CT reconstructions are used; however, such reconstructions are not always available.... Read More about A stacked dense denoising–segmentation network for undersampled tomograms and knowledge transfer using synthetic tomograms.