Colorectal Gland Segmentation On Stare
Metriken
AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| U-Net | 0.835 | U-Net: Convolutional Networks for Biomedical Image Segmentation |
| U-Net (e) | 0.827 | U-Net: Convolutional Networks for Biomedical Image Segmentation |
| FCN8 (e) | 0.796 | U-Net: Convolutional Networks for Biomedical Image Segmentation |
0 of 3 row(s) selected.