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  # BreastDCEDL_ISPY Dataset
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- This dataset is part of the BreastDCEDL collection and includes only the **I-SPY1** cohort.
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- It contains pre-treatment 3D dynamic contrast-enhanced MRI (DCE-MRI) scans from **172 breast cancer patients**, curated for deep learning applications.
 
 
 
 
 
 
 
 
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  📄 **Related Paper**:
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  [BreastDCEDL: Curating a Comprehensive DCE-MRI Dataset and Developing a Transformer Implementation](https://arxiv.org/abs/2506.12190)
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  📦 **Zenodo Archive**:
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- [Download I-SPY1 Dataset on Zenodo](https://zenodo.org/records/17274053)
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-
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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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- ---
 
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  # BreastDCEDL_ISPY Dataset
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+ **BreastDCEDL_ISPY** is a curated dataset of pre-treatment 3D dynamic contrast-enhanced MRI (DCE-MRI) scans from **1,154 breast cancer patients**, combining data from two major clinical trials:
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+ - **I-SPY1**: 172 patients
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+ - **I-SPY2**: 982 patients
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+
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+ Each patient includes **3 selected DCE-MRI scans**:
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+ - Pre-contrast
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+ - Early post-contrast
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+ - Late post-contrast
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+
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+ This minimal version was derived from the full TCIA archives and optimized for deep learning applications in breast cancer imaging and outcome prediction.
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  📄 **Related Paper**:
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  [BreastDCEDL: Curating a Comprehensive DCE-MRI Dataset and Developing a Transformer Implementation](https://arxiv.org/abs/2506.12190)
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  📦 **Zenodo Archive**:
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+ [Download BreastDCEDL_ISPY Dataset on Zenodo](https://zenodo.org/records/17274053)
 
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  ## Contents
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+ - 3D DCE-MRI scans in NIfTI format (3 time points per patient)
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  - Tumor segmentation masks
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+ - Clinical metadata including:
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+ - Pathological complete response (pCR)
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+ - Hormone receptor (HR) status
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+ - HER2 status
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+ - Age and race
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+
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+ ## Benchmark Tasks Supported
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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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+ ## Source Citations
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+
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+ - **I-SPY1**:
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+ *ACRIN 6657/I-SPY1 Breast MRI Database*, The Cancer Imaging Archive (TCIA).
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+ [https://doi.org/10.7937/K9/TCIA.2016.3L9TD9TK](https://doi.org/10.7937/K9/TCIA.2016.3L9TD9TK)
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+
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+ - **I-SPY2**:
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+ *ACRIN 6698/I-SPY2 Breast MRI Database*, The Cancer Imaging Archive (TCIA).
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+ [https://doi.org/10.7937/TCIA.2020.1UPK9QEY](https://doi.org/10.7937/TCIA.2020.1UPK9QEY)
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+
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  ---
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+
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+ **License**: CC-BY