Research Article
Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection
Table 4
The outline and summary of the performed experiments.
| Common | Dataset | Preprocessing | Features | Mapping | Representation | Classification | Evaluation | SERI | NLM | LBP, LBP-TOP
| Leave-One-Patient Out Cross-Validation (LOPO-CV) SE, SP |
| Baseline [12] Goal: evaluation of features, mapping, and representation | + Duke | ~ | ~ | Global Local | BoW Histogram | RF | + comparison with [10] |
| Experiment Goal: finding the optimum number of words | ~ | + ++ | ~ | Global Local | BoW
| LR | +ACC, F1 score (F1) |
| Experiment Goal: evaluation of different preprocessing and classifiers for high-level features | ~ | + ++ | ~ | Global Local | BoW Optimal | 3-NN RF SVM GB | ~ |
| Experiment Goal: evaluation of different preprocessing and classifiers for low-level features | ~ | + ++ | ~ | Global | Histogram | 3-NN RF SVM GB | ~ |
|
|
~ indicates that common configuration applies.
|