Research Article
[Retracted] Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images
Table 6
Performance comparison of YOLO-OC with other classical models.
| Model | | | | score | FPS |
| Faster R-CNN | 89.64% | 82.84% | 71.56% | 85.94% | 0.8 | SSD | 88.30% | 79.32% | 68.79% | 85.33% | 5.2 | RetinaNet | 90.81% | 83.40% | 71.97% | 88.75% | 4.3 | YOLOv5 | 87.96% | 82.25% | 71.54% | 87.83% | 10.3 | YOLO-OCv2 | 92.21% | 85.66% | 74.85% | 89.85% | 9.4 |
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