Lesion Segmentation On Anatomical Tracings Of
Métriques
Dice
IoU
Precision
Recall
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Dice | IoU | Precision | Recall |
|---|---|---|---|---|
| segnet-a-deep-convolutional-encoder-decoder | 0.2767 | 0.1911 | 0.3938 | 0.2532 |
| x-net-brain-stroke-lesion-segmentation-based | 0.4867 | 0.3723 | 0.6000 | 0.4752 |
| mutual-gain-adaptive-network-for-segmenting | - | 0.3803 | 0.6773 | 0.4525 |
| road-extraction-by-deep-residual-u-net | 0.4702 | 0.3549 | 0.5941 | 0.4537 |