LUNA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Sensitivity Analysis of Radiomic Features | LUNA | Odds Ratio (OR)8.4 | 28 | |
| Sparse-view CT Reconstruction | LUNA16 | PSNR29.41 | 24 | |
| CT Reconstruction | LUNA16 Chest (test) | PSNR31.86 | 21 | |
| Sparse-view CT Reconstruction | LUNA16 Chest | VIF30.12 | 21 | |
| Pulmonary Segmentation | LUNA16 100% labels | Dice Score93.7 | 20 | |
| Pulmonary Segmentation | LUNA16 (10% labels) | Dice Coefficient93.5 | 20 | |
| Classification | LUNA16 | AUC0.733 | 16 | |
| Sparse-view CBCT reconstruction | LUNA16 Chest | PSNR (dB)31.86 | 15 | |
| Lung Segmentation | LUNA16 | Dice97.73 | 13 | |
| Nodule Categorization | LUNA16 (val) | AUC0.9846 | 12 | |
| Sparse-view CBCT reconstruction | LUNA16 (test) | Inference Time (s)0.3 | 10 | |
| Sparse-view CT Reconstruction | LUNA16 10-View | PSNR30.01 | 10 | |
| Sparse-view CT Reconstruction | LUNA16 Chest CT (8-View) | PSNR29.46 | 10 | |
| Sparse-view CT Reconstruction | LUNA16 Chest CT 6-View | PSNR28.48 | 10 | |
| Nodule Detection | LUNA16 1.0 (Official) | Sensitivity @ 1 FPs/scan95.7 | 10 | |
| Sparse-view 3D CT reconstruction | LUNA 16 (test) | PSNR (36-view)29.35 | 9 | |
| Lung Nodule Detection | IF-LUNA16 | mAP45.5 | 8 | |
| Lung Segmentation | LUNA (test) | Sensitivity99.44 | 8 | |
| Image Distribution Similarity | LUNA25 | FID0.75 | 7 | |
| Localisation | LUNA16 | MAE0.1 | 5 | |
| Lung Segmentation | LUNA | Accuracy98.68 | 5 | |
| Unconditional Volumetric Synthesis | LUNA16 (train) | FID0.004 | 4 | |
| Semantic Segmentation | LUNA16 Lung | Dice97.02 | 2 | |
| Medical Image Reconstruction | LUNA 16 | Metric- | 0 |
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