CT
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Degradation Severity Estimation | CT Patients: L506, L192, L310 (test) | Spearman's Rho0.926 | 50 | |
| Classification | CT | Accuracy96.93 | 41 | |
| Time Series Anomaly Detection | CT Hard Setting (test) | AUC83.58 | 20 | |
| Anomaly detection | CT UEA (test) | ROC AUC (%)99.7 | 20 | |
| CT Denoising | CT (test) | PSNR33.78 | 17 | |
| Interactive Medical Image Segmentation | CT (Computed Tomography) | Dice Coefficient84.7 | 16 | |
| Medical Image Analysis | CT 2 tasks | Average Performance84.2 | 13 | |
| Classification | CT Sagittal | Accuracy29.27 | 11 | |
| Classification | CT Coronal | Accuracy33.4 | 11 | |
| Classification | CT Axial | Accuracy45.09 | 11 | |
| Scene Text Recognition | CT 288 (test) | Accuracy76.8 | 11 | |
| CT Reconstruction | CT 8 views (test) | PSNR29.48 | 11 | |
| CT Reconstruction | CT 20 views (test) | PSNR33.57 | 11 | |
| Medical image reconstruction | CT | rFID7.88 | 8 | |
| CT Reconstruction | CT Limited-angle | PSNR27.21 | 6 | |
| CT Reconstruction | CT Sparse-view | PSNR29.55 | 6 | |
| Medical Image Segmentation | CT Tumor | DSC0.0121 | 6 | |
| Medical Image Segmentation | CT Liver | DSC1.05 | 6 | |
| Sparse-view CT Reconstruction | CT100 (test) | PSNR34.4 | 5 | |
| CT Reconstruction | CT (test) | Average Duration (s)10.26 | 4 | |
| Backdoor Attack | CT (test) | Runtime (s)0.48 | 4 | |
| Healthy anatomy reconstruction | CT Simulated Pathology 1,000 samples (test) | L1 Error (F)0.0259 | 4 | |
| Claim Verification | CT22 | Accuracy79.28 | 3 | |
| CT Super-resolution | CT (sharp) | PSNR36.05 | 3 | |
| CT Super-resolution | CT (smooth) | PSNR39.93 | 3 |
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