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Medical Image Denoising

Image credit: Learning Medical Image Denoising with Deep Dynamic Residual Attention Network

Papers

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Showing 11–20 of 21 papers

TitleStatusHype
User Loss -- A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction—0
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection—0
Low-Dose CT Image Denoising Using Parallel-Clone Networks—0
Denoising via Repainting: an image denoising method using layer wise medical image repainting—0
Neighboring Slice Noise2Noise: Self-Supervised Medical Image Denoising from Single Noisy Image Volume—0
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions—0
Task-based Regularization in Penalized Least-Squares for Binary Signal Detection Tasks in Medical Image Denoising—0
An unsupervised deep learning framework for medical image denoising—0
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples—0
DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models—0
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All datasetsDermatologist level dermoscopy skin cancer classification using different deep learning convolutional neural networks algorithmsFMD Confocal FishFMD Confocal MiceFMD Two-Photon MiceHuman Protein Atlas ImageLGG Segmentation Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Deep Dynamic Residual Attention Network SSIM0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinIAPSNR31.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinIAPSNR37.65—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinIAPSNR33.25—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep Dynamic Residual Attention NetworkAverage PSNR43.84—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep Dynamic Residual Attention NetworkAverage PSNR40.48—Unverified