| Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection | May 28, 2020 | Diabetic Retinopathy Detection | —Unverified | 0 |
| Diabetic Retinopathy detection by retinal image recognizing | Jan 14, 2020 | Diabetic Retinopathy DetectionDiagnostic | —Unverified | 0 |
| Adapting to Label Shift with Bias-Corrected Calibration | Sep 25, 2019 | Diabetic Retinopathy DetectionDomain Adaptation | —Unverified | 0 |
| O-MedAL: Online Active Deep Learning for Medical Image Analysis | Aug 28, 2019 | Active LearningDeep Learning | CodeCode Available | 0 |
| Transfer Learning based Detection of Diabetic Retinopathy from Small Dataset | May 17, 2019 | ClassificationDeep Learning | CodeCode Available | 0 |
| Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss | Apr 18, 2019 | ClassificationDeep Learning | —Unverified | 0 |
| MedAL: Deep Active Learning Sampling Method for Medical Image Analysis | Sep 25, 2018 | Active LearningDiabetic Retinopathy Detection | —Unverified | 0 |
| Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs | Mar 12, 2018 | Diabetic Retinopathy DetectionMedical Image Analysis | CodeCode Available | 0 |
| Case Study: Explaining Diabetic Retinopathy Detection Deep CNNs via Integrated Gradients | Sep 27, 2017 | Diabetic Retinopathy Detection | —Unverified | 0 |
| Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection | Jun 14, 2017 | ClusteringDiabetic Retinopathy Detection | —Unverified | 0 |
