Datasets:
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In this work, we introduce the **first publicly available large-scale dataset with explicit left and right breast segmentation labels**, comprising **over 17,000 3D MRI scans**. Accompanying this dataset is a **robust nnU-Net–based segmentation model**, trained specifically to identify and separate left and right breast regions in clinical MRI data. This resource provides a foundation for developing anatomically aware AI models and enables large-scale pretraining for downstream breast MRI tasks.
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## 📂 Dataset
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In this work, we introduce the **first publicly available large-scale dataset with explicit left and right breast segmentation labels**, comprising **over 17,000 3D MRI scans**. Accompanying this dataset is a **robust nnU-Net–based segmentation model**, trained specifically to identify and separate left and right breast regions in clinical MRI data. This resource provides a foundation for developing anatomically aware AI models and enables large-scale pretraining for downstream breast MRI tasks.
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**This is v2.0.0 of our dataset! Look for v1.0.0 under tags for the original publication.**
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## 📂 Dataset
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