Nuclear Segmentation On Cell17
Métriques
Dice
F1-score
Hausdorff
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Dice | F1-score | Hausdorff | Paper Title | Repository |
|---|---|---|---|---|---|
| Cell R-CNN | 0.7088 | 0.8216 | 11.3141 | Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis | - |
| FnsNet | 0.6165 | 0.7413 | 25.9102 | Perceptual Losses for Real-Time Style Transfer and Super-Resolution | |
| Mask R-CNN | 0.707 | 0.8004 | 12.6723 | Mask R-CNN | |
| Pix2Pix | 0.6351 | 0.6208 | 19.1441 | Image-to-Image Translation with Conditional Adversarial Networks |
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