Image Denoising Algorithm Based on Gradient Domain Guided Filtering and NSST
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3242050
Abstract: Traditional image denoising methods, which do not depend on data training, have good interpretability. However, traditional image denoising methods hardly achieve the denoising effect of deep learning methods. Based on traditional image processing techniques, this… read more here.
Keywords: guided filtering; gradient domain; denoised image; image denoising ... See more keywords
Domain-guided data augmentation for deep learning on medical imaging
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0282532
Abstract: While domain-specific data augmentation can be useful in training neural networks for medical imaging tasks, such techniques have not been widely used to date. Our objective was to test whether domain-specific data augmentation is useful… read more here.
Keywords: guided data; data augmentation; augmentation; medical imaging ... See more keywords