If you have any problems, suggestions or improvements, please submit the issue or PR.
| Dataset | Time | Images | Format | Camera | Resolution | FOV | Institudes | Tasks |
|---|---|---|---|---|---|---|---|---|
| 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° | Center of Excellence in Signal and Image Processing | DR & DME grading / Typical DR lesions & optic disc detection / Optic disc and fovea center location |
| 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 |
- Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey (PAA2017) [paper]
- Computer-aided diagnosis of diabetic retinopathy: A review (CBM2013) [paper]
- Collaborative learning of semi-supervised segmentation and classification for medical images (CVPR2019) [paper]
- [CANet] CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading (TMI2019) [paper]
- [Zoom-in-Net] Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection (MICCAI2018) [paper]
- A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion (MICCAI2018) [paper]
- [Google 1] Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs (JAMA2016) [paper]
- [Google 2] Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy (Ophthalmology2018) [paper]
- [Google 3] Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy (Ophthalmology2018) [paper]