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README.md
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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
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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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- 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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**Note**: This Hugging Face repository includes only the I-SPY1 cohort. The Duke dataset is not part of this upload.
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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
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