Figure 5 - uploaded by Pierrick Coupé
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Denoising example of real T1 and T2 images. From left to right: Noisy image, filtered image with the proposed filter and residual image (removed Rician noise). A close-up of the cerebellum of the T1 image is shown to better see the denoising effect.
Source publication
This paper proposes a novel method for automatic MRI denoising that exploits last advances in deep learning feature regression and self-similarity properties of the MR images. The proposed method is a two-stage approach. In the first stage, an overcomplete patch-based convolutional neural network blindly removes the noise without specific estimatio...
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