Datasets:
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README.md
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## Summary
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- **Task:** Binary CT image classification (`No-Stroke` = 0, `Stroke` = 1)
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- **Dataset Size:**
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- **Structure:** 3-fold cross-validation (`Fold1`, `Fold2`, `Fold3`), each containing `train/` and `test/` splits
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- **Labeling Strategy:** Original classes (`No Stroke`, `Bleeding`, `Ischemia`) were converted into a binary setup by merging `Bleeding` and `Ischemia` into a single `Stroke` class for emergency triage
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## Summary
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- **Task:** Binary CT image classification (`No-Stroke` = 0, `Stroke` = 1)
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- **Dataset Size:** ~16.5k images per fold, ~49.5k files across folds on disk. ~3 GB total
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- **Structure:** 3-fold cross-validation (`Fold1`, `Fold2`, `Fold3`), each containing `train/` and `test/` splits
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- **Labeling Strategy:** Original classes (`No Stroke`, `Bleeding`, `Ischemia`) were converted into a binary setup by merging `Bleeding` and `Ischemia` into a single `Stroke` class for emergency triage
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