SOTAVerified

Medical Image Denoising

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–21 of 21 papers

TitleStatusHype
DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models—0
Denoising via Repainting: an image denoising method using layer wise medical image repainting—0
Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images—0
Task-based Regularization in Penalized Least-Squares for Binary Signal Detection Tasks in Medical Image Denoising—0
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image DenoisingCode0
Neighboring Slice Noise2Noise: Self-Supervised Medical Image Denoising from Single Noisy Image Volume—0
DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET ImagingCode0
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent—0
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions—0
Adversarial Distortion Learning for Medical Image DenoisingCode1
Content-Noise Complementary Learning for Medical Image DenoisingCode1
Transformers in Medical Imaging: A SurveyCode3
Eformer: Edge Enhancement based Transformer for Medical Image Denoising—0
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection—0
An unsupervised deep learning framework for medical image denoising—0
Learning Medical Image Denoising with Deep Dynamic Residual Attention NetworkCode1
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image PriorCode1
Low-Dose CT Image Denoising Using Parallel-Clone Networks—0
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples—0
User Loss -- A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction—0
Medical image denoising using convolutional denoising autoencodersCode0
Show:102550
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