Table 13.
Abbreviations and their full names
| Abbreviation | Full name |
|---|---|
| AP | Average pooling |
| BM | Base model |
| CLF | Composite learning factor |
| CLFS | Composite learning factor setting |
| CNN | Convolutional neural network |
| CT | Computed Tomography |
| DA | Data augmentation |
| DB | DenseBlock |
| FCL | Fully connected layer |
| FL | Frozen layer |
| GAP | Global average pooling |
| GGO | Ground-glass opacity |
| GLR | Global learning rate |
| HC | Healthy control |
| HS | Histogram stretching |
| HU | Hounsfield unit |
| ILSVRC | ImageNet large scale visual recognition challenge |
| LF | Learning factor |
| LR | Learning rate |
| LRN | Local response normalization |
| MCC | Matthews correlation coefficient |
| ML | Middle layer |
| MP | Maximum pooling |
| MV | Majority voting |
| NL | New layer |
| OTLS | Optimization of transfer learning setting |
| PCR | Polymerase chain reaction |
| PTM | Pre-trained model |
| RHO | Random hold-out |
| SD | Standard deviation |
| SGDM | Stochastic gradient descent with momentum |
| SLF | Simple learning factor |
| SPFP | Single-precision floating-point |
| TL | Transfer learning |
| TL | Transition layer |