Single white blood cell classification on Matek 2019 (test)
87.5AccuracyAAE-DA
Evaluation Results
| Method | Links | |
|---|---|---|
| AAE-DATrained on=Matek-192022.07 | 87.5 | |
| AE-RFTrained on=Matek-192022.07 | 86 | |
| AE-CFETrained on=Matek-192022.07 | 83.7 | |
| AE-CFETrained on=INT-202022.07 | 73.2 | |
| AAE-DATrained on=INT-202022.07 | 63.9 | |
| ResNet-RFTrained on=Matek-19, Backbone=ResNet1012022.07 | 62.5 | |
| R-CNN-RFTrained on=Matek-19, Source=Mask R-CNN features2022.07 | 60.5 | |
| AE-RFTrained on=INT-202022.07 | 47.2 | |
| AE-CFETrained on=Acevedo-202022.07 | 45.1 | |
| AE-RFTrained on=Acevedo-202022.07 | 39.5 | |
| AAE-DATrained on=Acevedo-202022.07 | 39.4 |