Internal cohort
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Biochemical recurrence prediction | Internal cohort (test) | Coefficient Beta-0.36 | 13 | |
| Treatment Planning | Internal Cohort | Accuracy91.5 | 12 | |
| Future MRI Generation | Internal Cohort | FLAIR NMSE5.93 | 7 | |
| P40 IHC status prediction | Internal cohort (val) | Macro AUC80.3 | 5 | |
| Primary vs Metastatic classification | Internal cohort Biopsy | Macro AUC1 | 5 | |
| Primary vs Metastatic Classification | Internal cohort Resection (test) | Macro AUC0.989 | 5 | |
| Ki-67 biomarker status prediction | Internal cohort Ki-67 | Macro AUC87.1 | 5 | |
| EGFR mutation prediction | Internal cohort | Macro AUC0.89 | 5 | |
| Benign vs Malignant Classification | Internal cohort Frozen (test) | Macro AUC98.6 | 5 | |
| Histologic Subtyping | Internal cohort Biopsy | Macro AUC87.7 | 5 | |
| Fine-grained Subtyping | Internal cohort (Resection) | Macro AUC0.911 | 5 | |
| Lung Adenocarcinoma Subtyping | Internal cohort Frozen sections (test) | Macro AUC88.5 | 5 | |
| Liver Tumor Segmentation | Internal cohort (test) | Dice (Pixel-wise)87.5 | 4 | |
| Liver Tumor Diagnosis | Internal cohort (test) | Patient-wise AUC0.936 | 4 | |
| Post-PathSubtype (Pathological Subtype Classification) | Internal cohort (test) | Macro-AUC98.02 | 1 | |
| Post-Grading (Histological Grading) | Internal cohort (test) | Macro-AUC0.8034 | 1 | |
| Intra-Margin Assessment | Internal cohort (test) | Macro-AUC92.69 | 1 | |
| Intra-Malignancy Detection | Internal cohort (test) | Macro-AUC0.9991 | 1 | |
| Pre-KI67 (Ki-67 Status Prediction) | Internal cohort (test) | Macro-AUC81.57 | 1 | |
| Pre-HER2 (HER2 Status Prediction) | Internal cohort (test) | Macro-AUC82.45 | 1 | |
| Pre-ER (Estrogen Receptor Status Prediction) | Internal cohort (test) | Macro-AUC87.14 | 1 | |
| Pre-MassDiff (Mass Differentiation) | Internal cohort (test) | Macro-AUC97.12 | 1 | |
| Pre-Malignancy Detection | Internal cohort (test) | Macro-AUC0.9997 | 1 |
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