TABLE 4.
Metrics | Accuracy | Precision‐macro | Sensitivity‐macro | F1 score‐macro |
---|---|---|---|---|
MAIA models | ||||
AP model | 0.8113 | 0.8067 | 0.8078 | 0.8004 |
Lat model | 0.9057 | 0.902 | 0.9079 | 0.9008 |
Concat model | 0.8585 | 0.8524 | 0.8590 | 0.8511 |
Merge model | ||||
Dual images | 0.7972 | 0.7898 | 0.7906 | 0.7821 |
AP images | 0.7075 | 0.6889 | 0.7014 | 0.6846 |
Lat images | 0.8868 | 0.8894 | 0.8797 | 0.8774 |
Average | 0.8278 | 0.8215 | 0.8244 | 0.8161 |
Ensemble models | ||||
All | 0.9245 | 0.9226 | 0.9248 | 0.9181 |
AP + LP | 0.9434 | 0.9405 | 0.9416 | 0.9388 |
AP + Lat + Concat | 0.9340 | 0.9304 | 0.9332 | 0.9302 |
AP + Lat + Merge | 0.9340 | 0.9337 | 0.9297 | 0.9289 |
Lat + Concat | 0.9340 | 0.9304 | 0.9332 | 0.9299 |
Average | 0.9340 | 0.9315 | 0.9325 | 0.9292 |
Abbreviations: Concat, concatenated; MAIA, Medical Artificial Intelligence Aggregator.