In-house dataset
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| OOD Detection | In-house dataset | ID Precision64 | 10 | |
| Estimated Glomerular Filtration Rate (eGFR) Prediction | in-house dataset (test) | AUC ROC0.699 | 7 | |
| Coronary Artery Calcium (CAC) Prediction | in-house dataset (test) | ROC AUC89.9 | 7 | |
| Age-Related Macular Degeneration (AMD) Prediction | in-house dataset (test) | ROC AUC0.772 | 7 | |
| Glaucoma Prediction | in-house dataset (test) | ROC AUC0.777 | 7 | |
| Diabetic Retinopathy (DR) Prediction | in-house dataset (test) | ROC AUC0.982 | 7 | |
| Multimodal eye disease classification | In-house dataset Gaussian noise σ=0.3 on OCT (test) | Accuracy82.9 | 7 | |
| Multimodal eye disease classification | In-house dataset Gaussian noise σ=0.1 on Fundus (test) | Accuracy81.4 | 7 | |
| Multimodal eye disease classification | In-house dataset Original (test) | Accuracy82.9 | 7 | |
| Coronary artery labeling | in-house dataset | Recall92.23 | 5 | |
| Keyword Spotting | In-house dataset 10 dB SNR (noisy) | FRR5.8 | 5 | |
| Keyword Spotting | In-house dataset (clean) | FRR3.1 | 5 | |
| Surgical Instrument Reconstruction | In-House Dataset | PSNR (Wrist & Gripper)30.44 | 3 | |
| Table Structure Recognition | in-house dataset | Precision (IoU@0.6)94.9 | 2 | |
| Pancreas Segmentation | In-house dataset | Metric- | 0 | |
| Spleen Segmentation | In-house dataset | Metric- | 0 | |
| Liver Segmentation | In-house dataset | Metric- | 0 |
Showing 17 of 17 rows