Table 1.
List of abbreviations.
| Abbreviation | Term | Specification |
|---|---|---|
| AI | Artificial intelligence | – |
| A-lines | Arterial line | – |
| APLE | Automatic pleural line extraction | Feature extraction tecnique |
| AR | Association rule | Learning tecnique |
| BE | Bagging ensemble | Optimization technique |
| BGWO | Binary grey wolf optimization | Optimization technique |
| CNN | Convolutional neural network | – |
| CSDB | Channel-shuffled dual-branched | – |
| CSDB-DFL | Channel-shuffled dual-branched with distinctive filter learning | – |
| CSSA | Chaotic salp swarm algorithm | Optimization technique |
| CT | Computed tomography | Imaging modalities |
| DBSN | Deep Bayes-SqueezeNet | Deep learning model |
| DL | Deep learning | – |
| DNN | Deep neural network | – |
| DT | Decision tree | Classification technique |
| DTL | Deep transfer learning | Deep learning model |
| ELM | Extreme learning machine | Classification technique |
| FE | Feature extraction | – |
| FO-MPA | Fractional-order and marine predators algorithm | Feature SelectionTecnique |
| GLCM | Gray level co-occurrence matrix | – |
| GLRLM | Gray level run length matrix | – |
| KNN | K-nearest neighbour | Classification technique |
| LBGLCM | Local binary gray level co-occurrence matrix | – |
| LD | Linear discriminant | Classification technique |
| LSTM | Long short term memory | Classification technique |
| ML | Machine learning | – |
| MPA | Marine predators algorithm | Feature SelectionTecnique |
| MRFO | Manta ray foraging optimization | Feature SelectionTecnique |
| MVBCE | Majority voting based classifier ensemble | Classification technique |
| NB | Naïve bayes | Classification technique |
| NCR | Non-convex regularization | Optimization technique |
| NN | Neural-networks | – |
| OS-ELM | Online sequential extreme learning machine | Learning tecnique |
| PARL | Prior-attention residual learning | Classification technique |
| PR | Pattern recognition | – |
| QA | Quality assessment | – |
| RBDR | Ranking-based diversity reduction | Optimization technique |
| RELBP | Residual exemplar local binary pattern | Feature extraction tecnique |
| ResNet | Relative traditional residual network | Deep learning model |
| RT-PCR | Reverse transcriptase-polymerase chain reaction | – |
| SF | Shrunken features | Classification technique |
| SFTA | Segmentation-based fractal texture analysis | Feature extraction tecnique |
| SLR | Systematic literature review | – |
| SSN | Semi-supervised network | – |
| SVM | Support vector machine | Classification technique |
| TL | Transfer learning | Classification technique |
| TRT | Training radiology technologists | – |
| TVUS | Transvaginal ultrasound | Imaging modalities |
| US | Ultrasound | Imaging modalities |