| 2-D | two-dimensional |
| 3-D | three-dimensional |
| BF | boundary F1 |
| CE | contrast-enhanced |
| CNN | convolutional neural network |
| CT | computed tomography |
| FCNN | fully convolutional neural network |
| FLAIR | fluid attenuation inversion recovery |
| FN | false negatives |
| FP | false positives |
| HPC | high-performance computing |
| IoU | intersection over union |
| MRI | magnetic resonance imaging |
| MSE | mean-squared error |
| PET | positron emission tomography |
| PSNR | peak signal-to-noise ratio |
| ReLU | rectified linear unit |
| RIRE | retrospective image registration evaluation |
| RMSE | root-mean-squared-error |
| RMSProp | root mean square propagation |
| SGDM | stochastic gradient descent with momentum |
| SSIM | structural similarity |
| STS | soft-tissue sarcoma |
| TN | true negatives |
| TP | true positives |