Papers with Code 아카이브
Medical Image Enhancement
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 3
- 보존된 평가 기록
- 3
Aims to improve the perceptual quality of low-quality medical images
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Imaging foundation model for universal enhancement of non-ideal measurement CT
Lightening Anything in Medical Images
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers
Ultrasound Image Enhancement using CycleGAN and Perceptual Loss
SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Deep Perceptual Enhancement for Medical Image Analysis
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis
Feedback Graph Attention Convolutional Network for Medical Image Enhancement
Medical Image Enhancement Using Histogram Processing and Feature Extraction for Cancer Classification
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
Iterative Thresholded Bi-Histogram Equalization for Medical Image Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.