Table 6
Metrics over the test set obtained by the ensembles, grouping the individual models by AA (a) and by encoder (b).
| Combination | Dice | Precision | Recall |
|---|---|---|---|
| All base | 0.8973 | 0.8631 | 0.9537 |
| All visual | 0.9026 | 0.8857 | 0.9401 |
| All sloan | 0.8997 | 0.8737 | 0.9479 |
| All color | 0.9006 | 0.8790 | 0.9438 |
| All mass | 0.9097 | 0.8941 | 0.9424 |
| All | 0.9054 | 0.8823 | 0.9484 |
| (a) | |||
| Combination | Dice | Precision | Recall |
|---|---|---|---|
| All ResNet18 | 0.9029 | 0.8823 | 0.9437 |
| All ResNet50 | 0.9008 | 0.8781 | 0.9441 |
| All EfficientNetB1 | 0.8985 | 0.8674 | 0.9515 |
| All EfficientNetB2 | 0.8951 | 0.8677 | 0.9467 |
| All EfficientNetB6 | 0.8972 | 0.8725 | 0.9445 |
| All DenseNet161 | 0.9049 | 0.8927 | 0.9353 |
| All DenseNet201 | 0.9035 | 0.8829 | 0.9432 |
| (b) | |||
Notes. In Table 6a, each row collects the results of the ensemble formed by the seven models (one for each encoder) that have been trained with the corresponding AA. Last row shows the ensemble made up of the 35 trained models. In Table 6b, each row shows the results of the ensemble formed by the five models (one for each AA) that have been trained with the same encoder. Color coding corresponds to the one used in Table 1.
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