SOTAVerified

Medical Image Enhancement

Aims to improve the perceptual quality of low-quality medical images

Papers

Showing 110 of 18 papers

TitleStatusHype
Imaging foundation model for universal enhancement of non-ideal measurement CTCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion ModelsCode1
Structure-consistent Restoration Network for Cataract Fundus Image EnhancementCode1
Harmonizing Pathological and Normal Pixels for Pseudo-healthy SynthesisCode1
Deep Perceptual Enhancement for Medical Image AnalysisCode0
Lightening Anything in Medical Images0
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers0
Ultrasound Image Enhancement using CycleGAN and Perceptual LossCode0
SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DPEAverage PSNR30.69Unverified
#ModelMetricClaimedVerifiedStatus
1DPEAverage PSNR30.69Unverified
#ModelMetricClaimedVerifiedStatus
1FTUPGDSSIM0.87Unverified