NSCLC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| WSI Classification | NSCLC | Accuracy93 | 53 | |
| Coding Reasoning | NSCLC | Success Rate63.1 | 36 | |
| Histopathology image classification | NSCLC (test) | AUROC (Test)96 | 22 | |
| Binary Histopathology Subtyping Classification | NSCLC | Accuracy94.4 | 18 | |
| Survival Prediction | NSCLC natural missingness patterns (5-fold CV) | C-ix0.733 | 18 | |
| Cancer Subtyping | NSCLC-2 | AUC95.9 | 18 | |
| Tissue subtyping | NSCLC C=2 | AUROC94.86 | 16 | |
| Classification | NSCLC (test) | AUPRC96.3 | 16 | |
| Selective Region Prediction | NSCLC (test) | MSKcond2.1 | 14 | |
| SRP | NSCLC | MSKcond7.33 | 14 | |
| WSI Classification | NSCLC LUAD/LUSC (CPTAC external) | AUC0.845 | 13 | |
| WSI Classification | NSCLC LUAD/LUSC (TCGA internal) | AUC97.6 | 13 | |
| Domain Adaptation | NSCLC patch-level | Balanced Accuracy84.88 | 12 | |
| Patch-level Classification | NSCLC Unseen target hospitals | Balanced Accuracy83.79 | 10 | |
| Classification | NSCLC 47 | AUC0.9551 | 10 | |
| WSI Classification | NSCLC RCC transfer (test) | AUC95.5 | 10 | |
| Classification | NSCLC | Accuracy90.1 | 9 | |
| Overall Survival prediction | NSCLC (test) | AUC (0.5)0.773 | 9 | |
| Tissue Subtype Classification | NSCLC IND (test) | AUC98.4 | 8 | |
| Pathological Response Prediction | NSCLC | Accuracy73.33 | 7 | |
| Disease subtype prediction | NSCLC | Accuracy80.7 | 6 | |
| Domain Adaptation | NSCLC patch-level (Unbalanced) | Balanced Accuracy80.48 | 2 |
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