Update README.md

README.md

@@ -89,16 +89,19 @@ dataset/
 ├── lesion_annotations/
 │   ├── classification/
 │   │   └── classification.csv
-│   └── segmentation/
-│       ├── DUKE_001.nii.gz
-│       ├── ...
-│       └── ISPY2_982505.nii.gz
+│   ├── segmentation/
+│   │   ├── DUKE_001.nii.gz
+│   │   ├── ...
+│   │   └── ISPY2_982505.nii.gz
+│   ├── dwi_channel_mapping.json
+│   └── dwi_channel_mapping_explanation.txt
 ```
 
-- imagesTr_batch1 & imagesTr_batch2: Training images in .nii.gz format (split into two batches).
-- labelsTr_batch1 & labelsTr_batch2: Corresponding breast label masks in .nii.gz format (split into two batches).
-- lesion_annotations/classification: Contains classification.csv with 3021 lesion classification targets.
-- lesion_annotations/segmentation: Contains 467 lesion segmentation masks for bilateral images from the Mama Mia dataset.
+- `imagesTr_batch1` & `imagesTr_batch2`: Training images in .nii.gz format (split into two batches).
+- `labelsTr_batch1` & `labelsTr_batch2`: Corresponding breast label masks in .nii.gz format (split into two batches).
+- `lesion_annotations/classification`: Contains classification.csv with 3021 lesion classification targets.
+- `lesion_annotations/segmentation`: Contains 467 lesion segmentation masks for bilateral images from the Mama Mia dataset.
+- `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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