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@@ -12,17 +12,15 @@ It contains pre-treatment 3D dynamic contrast-enhanced MRI (DCE-MRI) scans from
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  ## Contents
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- - 3D DCE-MRI scans in NIfTI format (3–5 time points per patient)
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- - Tumor segmentation masks for selected time points
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  - Clinical metadata including pCR, HR, HER2 status, age, and race
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- - Bounding box annotations for tumor localization
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  This dataset supports benchmark tasks such as:
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  - Prediction of pathological complete response (pCR)
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  - Hormone receptor (HR) status classification
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  - HER2 status classification
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-
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- **Note**: This Hugging Face repository includes only the I-SPY1 cohort. The Duke dataset is not part of this upload.
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  ---
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  license: cc-by-nc-4.0
 
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  ## Contents
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+ - 3D DCE-MRI scans in NIfTI format (3 time points per patient, pre injection, post early and post late)
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+ - Tumor segmentation masks
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  - Clinical metadata including pCR, HR, HER2 status, age, and race
 
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  This dataset supports benchmark tasks such as:
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  - Prediction of pathological complete response (pCR)
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  - Hormone receptor (HR) status classification
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  - HER2 status classification
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+ - Tumor segmentation
 
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  ---
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  license: cc-by-nc-4.0