A dual-path CNN that learns noise and context separately and fuses them gives modest PSNR gains over U-Net for Gaussian noise on CT, MRI, OCT, and fundus images, but not over RED-CNN for AWGN or speckle.
Image denoising using wavelet transform
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Dual Path Learning -- learning from noise and context for medical image denoising
A dual-path CNN that learns noise and context separately and fuses them gives modest PSNR gains over U-Net for Gaussian noise on CT, MRI, OCT, and fundus images, but not over RED-CNN for AWGN or speckle.