Chest X-Ray
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Few-Shot Segmentation | Chest X-Ray | mIoU91 | 82 | |
| Semantic Segmentation | Chest X-ray | mIoU87.5 | 25 | |
| Multi-label chest disease diagnosis | Chest X-ray | Kappa0.682 | 22 | |
| Image Denoising | Chest X-Ray (test) | SSIM96 | 20 | |
| Image Denoising | Chest X-Ray 53 (test) | PSNR39.6 | 20 | |
| Medical Image Classification | Chest X-Ray (test) | Accuracy88.3 | 16 | |
| Pneumonia Detection | Chest X-Ray PX (test) | AUROC0.967 | 14 | |
| Lung Segmentation | Chest X-ray | Lung DSC78.38 | 12 | |
| Multi-label chest disease diagnosis | Chest X-ray (70%) | Kappa66.5 | 11 | |
| Auditing Data Removal | Chest X-ray R | PKS Score106 | 10 | |
| Auditing Data Removal | Chest X-ray C6 | PKS Score109 | 10 | |
| Auditing Data Removal | Chest X-ray C5 | PKS Score1.31 | 10 | |
| Auditing Data Removal | Chest X-ray C4 | pks Score1.26 | 10 | |
| Auditing Data Removal | Chest X-ray C3 | PKS Score1.31 | 10 | |
| Auditing Data Removal | Chest X-ray C2 | PKS Score1.32 | 10 | |
| Auditing Data Removal | Chest X-ray C1 | PKS Score1.32 | 10 | |
| Neural Image Representation | Chest X-ray 64 × 64 | MSE0.097 | 9 | |
| Medical Image Classification | Chest X-ray Standard Datasets | Pneumonia Classification Score90.1 | 7 | |
| Attribution Evaluation | Chest X-ray | IoU82.1 | 7 | |
| Image Classification | Chest X-Ray (test) | Average Accuracy95.41 | 7 | |
| Medical Image Segmentation | Chest X-ray (test) | DSC95.63 | 6 | |
| Lesion Detection | Chest X-ray | Training Time (m)1.9 | 6 | |
| Auditing Data Removal | Chest X-ray (random non-memorized) | PEMA0 | 5 | |
| Auditing Data Removal | Chest X-ray C6 (non-memorized) | PEMA0 | 5 | |
| Auditing Data Removal | Chest X-ray C5 (memorized) | PEMA1 | 5 |
Showing 25 of 35 rows