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| Dataset | Time | Images | Format | Camera | Resolution | FOV | Institudes | Tasks |
|---|---|---|---|---|---|---|---|---|
| GDRBench | 2023 | 111,357 | / | / | / | / | Multiple Institues | Domain Generalization in DR Grading (DGDR) |
| MFIDDR | 2023 | 34,452 | JPEG | Zeiss VISUCAM NM/FA | 2124 × 2056 | / | / | DR grading |
| DRTiD | 2022 | 3100 | jpg | / | / | Two-field 45° | FDU | DR grading / localization |
| FGADR | 2021 | 2842 | / | / | / | / | IIAI | DR grading / Lesion segmentation |
| DDR | 2019 | 13673 | jpg | Topcon, Nikon, Canon | / | 45° | Nankai | DR grading / Lesion segmentation/detection |
| DeepDRiD | 2019 | 2256 | jpg | TOPCON | 1956×1934 | / | SDCSP | DR grading / Quality assessment |
| Kaggle | 2015 | 88k | jpeg | / | / | 50° | EyePACS | DR grading |
| Messidor | 2014 | 1200 | tiff | Topcpn TRC NW6 | 1440x960, 2240x1488, 2304x1536 |
45° | ADCIS | DR & DME grading |
| IDRiD | 2018 | 516/81 | jpg | Kowa VX-10α | 4288x2848 | 50° | CESIP | DR & DME grading / Typical DR lesions & optic disc detection / Optic disc and fovea center location |
| APTOS | 2019 | 13k | png | / | / | / | / | DR grading |
| DIARETDB0 | 2007 | 130 | jpg | / | 1500x1152 | 50° | / | DR lesions finding |
| DIARETDB1 | 2007 | 89 | jpg | / | 1500x1152 | 50° | / | DR lesions detection |
| ROC | 2007 | 100 | jpg | / | 768×576, 1058x1061, 1386×1391 |
45° | / | Microaneurysms detection |
| E-ophtha-EX | 2013 | 82 | jpeg | / | 2533x1696 | 45° | ADCIS | Exudates detection |
| E-ophtha-MA | 2013 | 381 | jpeg | / | 2533x1696 | 45° | ADCIS | Microaneurysms detection |
Deep learning techniques for diabetic retinopathy classification: A survey [pdf]
Applications of Deep Learning in Fundus Images: A Review [pdf] [code]
IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge [pdf] [code]
Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey [pdf]
Computer-aided diagnosis of diabetic retinopathy: A review [pdf]
2024
A deep learning system for predicting time to progression of diabetic retinopathy [pdf] [code]
Semantic-oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images [pdf]
A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading [pdf]
An interpretable dual attention network for diabetic retinopathy grading: IDANet [pdf]
Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy [pdf]
Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification [pdf]
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images [pdf] [code]
2023
A foundation model for generalizable disease detection from retinal images [pdf] [code]
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images [pdf]
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding [pdf] [code]
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains [pdf] [code]
Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis [pdf] [code]
MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network [pdf]
Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors [pdf] [code]
2022
Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images [pdf] [code]
Image Quality Assessment Guided Collaborative Learning of image enhancement and classification for Diabetic Retinopathy Grading [pdf]
Focused Attention in Transformers for interpretable classification of retinal images [pdf] [code]
SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image [pdf]
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading [pdf] [code]
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification [pdf]
DRGen: Domain Generalization in Diabetic Retinopathy Classification [pdf]
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement [pdf]
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images [pdf] [code]
2021
Rotation-oriented Collaborative Self-supervised Learning for Retinal Disease Diagnosis [pdf] [code]
MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms [pdf]
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification [pdf] [code]
Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images [pdf] [code]
Lesion-aware transformers for diabetic retinopathy grading [pdf]
Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images [pdf]
A deep learning system for detecting diabetic retinopathy across the disease spectrum [pdf] [code]
2020
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis [pdf] [code]
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation [pdf]
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability [pdf] [code]
CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading [pdf] [code]
SUNET: A LESION REGULARIZED MODEL FOR SIMULTANEOUS DIABETIC RETINOPATHY AND DIABETIC MACULAR EDEMA GRADING [pdf]
2019
Collaborative learning of semi-supervised segmentation and classification for medical images [pdf]
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading [pdf] [code]
BIRA-NET: BILINEAR ATTENTION NET FOR DIABETIC RETINOPATHY GRADING [pdf]
2018
Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection [pdf]
A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion [pdf]
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy [pdf]
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy [pdf]
2016
2024
2023
2022
Progressive Multiscale Consistent Network for Multiclass Fundus Lesion Segmentation [pdf]
RTNet: Relation transformer network for diabetic retinopathy multi-lesion segmentation [pdf]
SAA: Scale-Aware Attention Block For Multi-Lesion Segmentation Of Fundus Images [pdf]
2020
2019
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets [pdf]
CE-Net: Context Encoder Network for 2D Medical Image Segmentation [pdf]
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation [pdf]
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation [pdf]
Attention Guided Network for Retinal Image Segmentation [pdf]
L-Seg: An end-to-end unified framework for multi-lesion segmentation of fundus images [pdf] [code]
Joint segmentation and classification of retinal arteries/veins from fundus images [pdf]
A coarse-to-fine deep learning framework for optic disc segmentationin fundus images [pdf]
2017
CF & OCT B-scan
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis [pdf]
Reliable Multimodality Eye Disease Screening via Mixture of Student’s t Distributions [pdf]
Multi-Modal Multi-Instance Learning for Retinal Disease Recognition [pdf]
Multi-Modal Retinal Image Classification With Modality-Specific Attention Network [pdf]
Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization [pdf]
2023
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing [pdf] [code]
Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images [pdf] [code]
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework [pdf]
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement [pdf] [code]
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement [pdf]
2022
Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading [pdf]
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network [pdf] [code]
Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement [pdf] [code]
DOMAIN GENERALIZATION IN RESTORATION OF CATARACT FUNDUS IMAGES VIA HIGH-FREQUENCY COMPONENTS [pdf] [code]
An Annotation-Free Restoration Network for Cataractous Fundus Images [pdf] [code]
2021