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Physics-Driven Independent Pair Generation for Iterative Self-Supervised Low-Dose CT Denoising

Han, Xianlei et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognition
Low-dose computed tomography (LDCT) measurements contain mixed Poisson-Gaussian noise. However, most self-supervised methods rely on generic image statistics and do not explicitly model this noise, which may limit their ability to effectively suppress realistic LDCT noise. To address this issue, we
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