Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative models
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Deep learning (DL) has proven to be important for computed tomography (CT) image denoising. However, such models are usually trained under supervision, requiring paired data that may be difficult to obtain in practice. Diffusion models offer unsupervised means... ...
