naomifridman/BreastDCEDL
BreastDCEDL is a deep learning–ready DCE-MRI dataset of 2,070 breast cancer patients, sourced from I-SPY1, I-SPY2 and the DUKE cohort.
This project provides a comprehensive, standardized dataset of over 2,000 breast cancer patients' dynamic contrast-enhanced MRI (DCE-MRI) scans and harmonized clinical information. It offers both tumor-focused cropped images and full-resolution scans. Researchers and medical AI developers can use this data to train and test machine learning models for breast cancer prognosis and biomarker prediction.
Use this if you are a medical researcher or AI developer working on breast cancer and need a large, high-quality, pre-processed imaging dataset to train predictive models.
Not ideal if you are looking for raw DICOM files or if your research is not focused on breast cancer imaging or machine learning applications.
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22
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8
Language
Jupyter Notebook
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Last pushed
Feb 18, 2026
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