Cell Counting on CoNSeP
26.35MAE (Inflamm)Yolov5 (DEGPR)
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Yolov5 (DEGPR)Type=Detection based, Aggregation=Single multi-class model2023.04 | 26.35 | 55 | 53.85 | 45.07 | |
| SAU-NetType=Density map based, Aggregation=Separate models per class2023.04 | 50.72 | 77.38 | 99.14 | 75.75 | |
| FCRN-AType=Density map based, Aggregation=Separate models per class2023.04 | 53.18 | 94.34 | 95.84 | 81.12 | |
| UNetType=Density map based, Aggregation=Separate models per class2023.04 | 64.03 | 101.11 | 159.47 | 108.2 | |
| CountceptionType=Density map based, Aggregation=Separate models per class2023.04 | 77.13 | 129.61 | 151.13 | 119.29 |