Pulmonary Nodule Detection on PN9 (test)
51.59Sensitivity @ 0.125LSSANet
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| LSSANetAlgorithm Type=3D CNN Based2022.08 | 51.59 | 51.59 | 58.18 | 66.88 | 77.33 | 85.35 | 89.87 | 68.69 | |
| SANetAlgorithm Type=3D CNN Based2022.08 | 38.08 | 45.05 | 54.46 | 64.5 | 75.33 | 83.86 | 89.96 | 64.46 | |
| DeepSEEDAlgorithm Type=3D CNN Based2022.08 | 29.21 | 40.64 | 51.15 | 62.2 | 73.82 | 83.24 | 89.7 | 61.42 | |
| DeepLungAlgorithm Type=3D CNN Based2022.08 | 28.59 | 39.08 | 50.17 | 62.28 | 72.6 | 82 | 88.64 | 60.48 | |
| Leaky Noisy-ORAlgorithm Type=3D CNN Based2022.08 | 28.08 | 36.42 | 46.99 | 56.72 | 66.08 | 73.77 | 81.71 | 55.68 | |
| 3D Faster RCNNAlgorithm Type=3D CNN Based2022.08 | 27.57 | 36.59 | 46.76 | 58 | 70 | 80.02 | 88.32 | 58.18 | |
| NoduleNetAlgorithm Type=3D CNN Based2022.08 | 27.33 | 38.25 | 49.4 | 61.09 | 73.11 | 83.28 | 89.93 | 60.33 | |
| I3DR-NetAlgorithm Type=3D CNN Based2022.08 | 23.99 | 34.37 | 46.8 | 60.04 | 72.88 | 83.6 | 89.57 | 58.75 | |
| SSD512Algorithm Type=2D CNN Based2022.08 | 12.26 | 18.78 | 28 | 40.32 | 56.89 | 73.18 | 86.48 | 45.13 | |
| Faster RCNNAlgorithm Type=2D CNN Based2022.08 | 10.79 | 15.78 | 23.22 | 32.88 | 46.57 | 61.94 | 75.52 | 38.1 | |
| RetinaNetAlgorithm Type=2D CNN Based2022.08 | 8.42 | 13.01 | 20.13 | 29.06 | 40.41 | 52.52 | 65.42 | 32.71 |