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"Low-dose CT Image Synthesis for Domain Adaptation Imaging Using a Gene" by Ming Li, Jiping Wang et al.

Deep learning (DL) based image processing methods have been successfully applied to low-dose x-ray images based on the assumption that the feature distribution of the training data is consistent with that of the test data. However, low-dose computed tomography (LDCT) images from different commercial scanners may contain different amounts and types of image noise, violating this assumption. Moreover, in the application of DL based image processing methods to LDCT, the feature distributions of LDC...
Biomedical Imaging Computed Tomography Deep Learning Domain Adaptation Generative Adversarial Networks Mage Coding
Source: uow.edu.au

"Deep Affine Motion Compensation Network for Inter Prediction in VVC" by Dengchao Jin, Jianjun Lei et al.

In video coding, it is a challenge to deal with scenes with complex motions, such as rotation and zooming. Although affine motion compensation (AMC) is employed in Versatile Video Coding (VVC), it is still difficult to handle non-translational motions due to the adopted hand-craft block-based motion compensation. In this paper, we propose a deep affine motion compensation network (DAMC-Net) for inter prediction in video coding to effectively improve the prediction accuracy. To the best of our kn...
Versatile Video Coding Affine Motion Compensation Deep Neural Network Eformable Motion Compensation Feature Extraction Mage Coding
Source: uow.edu.au

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