| AUC-PR | Area Under the Precision–Recall Curve |
| AUC-ROC | Area Under the ROC Curve |
| CHASE_DB1 | Child Heart and Health Study in England |
| CNN | Convolutional Neural Network |
| CWS | Cotton-wool spot |
| DDR | Diabetic Retinopathy Grading and Segmentation Challenge |
| DNN | Deep Neural Network |
| DL | Deep Learning |
| DR | Diabetic retinopathy |
| DRIVE | Digital Retinal Images for Vessel Extraction |
| EX | Hard exudate |
| FoV | Field of View |
| FW | Fovea |
| FP | False Positive |
| FN | False Negative |
| HE | Hemorrhage |
| HRF | High-Resolution Fundus image Database |
| IDRiD | Indian Diabetic Retinopathy Image Dataset |
| IoU | Intersection over Union |
| MA | Microaneurysm |
| mBFScore | Mean Boundary F1-Score |
| OD | Optic disc |
| PCA | Principal Component Analysis |
| RTNet | Relation Transformer Network |
| SE | Soft exudate |
| SGDM | Stochastic Gradient Descent with Momentum |
| STARE | Structured Analysis of the Retina |
| TJDR | Tianchi Diabetic Retinopathy |
| TP | True Positive |
| TN | True Negative |