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Initial upload: MICCAI FLARE 2026 AutoMSC baseline models
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## Dataset001_BrainMets
Task: Multi-class tumor segmentation (necrotic core, enhancing tumor, edema) on brain MRI (T1, T1c, T2, FLAIR) + primary tumor origin classification (binary: NSCLC vs Breast carcinoma)
Note: The classification head outputs 3 classes (0: NSCLC, 1: Breast carcinoma, 2: Other origin — present in the full training cohort but excluded from this public dataset). Since no label-2 cases appear in the public split, AUROC/AUPRC are computed as binary using the class-1 (Breast carcinoma) probability against class-0 (NSCLC).
### Per-Fold Results — Segmentation
| Fold | DSC (necrotic) | DSC (enhancing) | DSC (edema) | DSC mean | NSD (necrotic) | NSD (enhancing) | NSD (edema) | NSD mean |
|------|----------------|-----------------|-------------|----------|----------------|-----------------|-------------|----------|
| 0 | 0.693 | 0.541 | 0.633 | 0.622 | 0.761 | 0.659 | 0.710 | 0.710 |
| 1 | 0.634 | 0.605 | 0.485 | 0.575 | 0.719 | 0.732 | 0.602 | 0.684 |
| 2 | 0.591 | 0.664 | 0.544 | 0.599 | 0.679 | 0.828 | 0.733 | 0.746 |
| 3 | 0.589 | 0.553 | 0.399 | 0.514 | 0.629 | 0.669 | 0.527 | 0.608 |
| 4 | 0.621 | 0.601 | 0.633 | 0.619 | 0.713 | 0.699 | 0.697 | 0.703 |
| **Mean** | **0.626** | **0.593** | **0.539** | **0.586** | **0.700** | **0.717** | **0.654** | **0.690** |
| **Std** | **0.042** | **0.049** | **0.100** | **0.045** | **0.050** | **0.068** | **0.087** | **0.051** |
### Per-Fold Results — Classification
| Fold | AUROC | AUPRC | Bal Acc | F1 |
|------|-------|-------|---------|------|
| 0 | 0.849 | 0.824 | 0.764 | 0.776 |
| 1 | 0.848 | 0.840 | 0.772 | 0.766 |
| 2 | 0.938 | 0.867 | 0.840 | 0.771 |
| 3 | 1.000 | 1.000 | 0.955 | 0.921 |
| 4 | 0.993 | 0.994 | 0.611 | 0.530 |
| **Mean** | **0.926** | **0.905** | **0.788** | **0.753** |
| **Std** | **0.074** | **0.085** | **0.125** | **0.141** |
### Figures
![Box plots](figures/01_boxplot_dsc_nsd.png)
![Case sampling](figures/02_case_sampling.png)
![ROC/PRC](figures/03_roc_prc.png)
![Confusion matrix](figures/04_confusion_matrix.png)
![FP/FN cases](figures/05_fp_fn_cases.png)