Adaptive enhancement of cataractous retinal images for contrast standardization
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Title
Adaptive enhancement of cataractous retinal images for contrast standardization
Authors
Keywords
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Journal
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-10-18
DOI
10.1007/s11517-023-02937-5
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Related references
Note: Only part of the references are listed.- An Annotation-free Restoration Network for Cataractous Fundus Images
- (2022) Heng Li et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity
- (2022) Tiarnan D.L. Keenan et al. OPHTHALMOLOGY
- Retinal Image Enhancement Using Cycle-Constraint Adversarial Network
- (2022) Cheng Wan et al. Frontiers in Medicine
- Retinal Image Enhancement with Artifact Reduction and Structure Retention
- (2022) Bingyu Yang et al. PATTERN RECOGNITION
- RFormer: Transformer-Based Generative Adversarial Network for Real Fundus Image Restoration on a New Clinical Benchmark
- (2022) Zhuo Deng et al. IEEE Journal of Biomedical and Health Informatics
- GLA-Net: A global-local attention network for automatic cataract classification
- (2021) Xi Xu et al. JOURNAL OF BIOMEDICAL INFORMATICS
- A double-pass fundus reflection model for efficient single retinal image enhancement
- (2021) Shuhe Zhang et al. SIGNAL PROCESSING
- Enhancement of blurry retinal image based on non-uniform contrast stretching and intensity transfer
- (2020) Lvchen Cao et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Modeling and Enhancing Low-Quality Retinal Fundus Images
- (2020) Ziyi Shen et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Color retinal image enhancement using luminosity and quantile based contrast enhancement
- (2019) Bhupendra Gupta et al. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
- Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition
- (2019) Yue Zhou et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Hierarchical method for cataract grading based on retinal images using improved Haar wavelet
- (2019) Lvchen Cao et al. Information Fusion
- Retinal image enhancement using low-pass filtering and α-rooting
- (2019) Lvchen Cao et al. SIGNAL PROCESSING
- Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment
- (2018) Mei Zhou et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Exploiting ensemble learning for automatic cataract detection and grading
- (2016) Ji-Jiang Yang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A retinal vessel boundary tracking method based on Bayesian theory and multi-scale line detection
- (2014) Jia Zhang et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- FSIM: A Feature Similarity Index for Image Quality Assessment
- (2011) Lin Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
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