| AE | Auto-encoder |
| AI | Artificial intelligence |
| BIO | Binocular indirect ophthalmoscopy |
| CA | Approximation coefficients |
| CD | Details coefficients |
| CNN | Convolutional Neural Network |
| DL | Deep Learning |
| dmey | Meyer wavelet |
| FN | False-negative |
| FP | False-positive |
| DWT | Discrete wavelet transform |
| FWHT | Fast Walsh Hadamard transform |
| LDA | Linear discriminate analysis |
| L-SVM | Linear support vector machine |
| ML | Machine learning |
| MIL | Multiple instance learning |
| Q-SVM | Quadratic support vector machine |
| RCG | ROP Collaboration Group |
| Retcam | Wide-angle digital retinal imaging |
| ROP | Retinopathy of Prematurity |
| PCA | Principal component analysis |
| SEH | Shenzhen Eye Hospital |
| SVM | Support vector machine |
| TL | Transfer learning |
| TN | True negative |
| TR | True positive |
| TML | Traditional machine learning techniques |
| WHT | Walsh Hadamard Transform |