Medical Image Enhancement
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Benchmarks
Most implemented
Deep Perceptual Enhancement for Medical Image Analysis
Ultrasound Image Enhancement using CycleGAN and Perceptual Loss
Papers
Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction
Image quality is critical for accurate medical diagnosis. However, MRI, CT, and ultrasound images are often of low resolution and quality due to cost constraints, complicating the visualization of key anatomical structur…
Medical Image EnhancementImage SegmentationMedical DiagnosisStructure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement
Three-dimensional (3D) medical image enhancement, including denoising and super-resolution, is critical for clinical diagnosis in CT, PET, and MRI. Although diffusion models have shown remarkable success in 2D medical im…
Medical Image EnhancementSGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement
Retinal fundus photography is indispensable for ophthalmic screening and diagnosis, yet image quality is often degraded by noise, artifacts, and uneven illumination. Recent GAN- and diffusion-based enhancement methods im…
Diabetic Retinopathy GradingMedical Image EnhancementLow-Level Dataset Distillation for Medical Image Enhancement
Medical image enhancement is clinically valuable, but existing methods require large-scale datasets to learn complex pixel-level mappings. However, the substantial training and storage costs associated with these dataset…
Medical Image EnhancementVersatile and Efficient Medical Image Super-Resolution Via Frequency-Gated Mamba
Medical image super-resolution (SR) is essential for enhancing diagnostic accuracy while reducing acquisition cost and scanning time. However, modeling both long-range anatomical structures and fine-grained frequency det…
Medical Image EnhancementImage Super-ResolutionChallenges, Advances, and Evaluation Metrics in Medical Image Enhancement: A Systematic Literature Review
Medical image enhancement is crucial for improving the quality and interpretability of diagnostic images, ultimately supporting early detection, accurate diagnosis, and effective treatment planning. Despite advancements …
Medical Image EnhancementImage Quality Assessment