Datasets:
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README.md
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│ │ └── ISPY2_982505.nii.gz
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│ ├── dwi_channel_mapping.json
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│ └── dwi_channel_mapping_explanation.txt
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```
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- `imagesTr_batch1` & `imagesTr_batch2`: Training images in .nii.gz format (split into two batches).
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- `lesion_annotations/classification`: Contains classification.csv with 3021 lesion classification targets.
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- `lesion_annotations/segmentation`: Contains 467 lesion segmentation masks for bilateral images from the Mama Mia dataset.
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- `lesion_annotations/dwi_channel_mapping.json` contains the mapping for breast lesion classification and breast lesion segmentation, indicating which DWI MRI phase image corresponds to which image in the dataset.
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---
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## 📄 Citation
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│ │ └── ISPY2_982505.nii.gz
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│ ├── dwi_channel_mapping.json
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│ └── dwi_channel_mapping_explanation.txt
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├── dataset.json
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└── breastdivider_id_mapping.csv
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```
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- `imagesTr_batch1` & `imagesTr_batch2`: Training images in .nii.gz format (split into two batches).
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- `lesion_annotations/classification`: Contains classification.csv with 3021 lesion classification targets.
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- `lesion_annotations/segmentation`: Contains 467 lesion segmentation masks for bilateral images from the Mama Mia dataset.
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- `lesion_annotations/dwi_channel_mapping.json` contains the mapping for breast lesion classification and breast lesion segmentation, indicating which DWI MRI phase image corresponds to which image in the dataset.
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- `dataset.json`: nnU-Net style dataset metadata
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- `breastdivider_id_mapping.csv`: Mapping between original dataset IDs and internal BreastDivider IDs
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## 📄 Citation
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