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Update README.md

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@@ -39,7 +39,7 @@ The dataset comprises breast ultrasound images obtained from women aged 25 to 75
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  - 🌿 Benign: 437
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  - ⚠️ Malignant: 210
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- ```plaintext
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  Breast_Ultrasound_Images/
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  β”œβ”€β”€ benign/
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  β”‚ β”œβ”€β”€ breast_001_0000.png
@@ -83,7 +83,7 @@ The label images might appear completely black, but don’t worryβ€”they’re no
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  The name of the dataset is `Breast`, whereas the ID is `101`. This information will be required for the nnUNet preprocess inference.
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- ```plaintext
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  nnUNet_raw/
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  └── Dataset101_Breast/
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  β”œβ”€β”€ imagesTr/ # Training images
@@ -105,7 +105,7 @@ This directory contains the preprocessed dataset, where the nnU-Net preprocessin
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  Note that the name of the dataset is `Breast`, whereas the ID is `101`. This information will be required for the nnUNet train inference.
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- ```plaintext
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  nnUNet_preprocessed/
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  └── Dataset101_Breast/
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  β”œβ”€β”€ dataset.json # Metadata file used for training
 
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  - 🌿 Benign: 437
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  - ⚠️ Malignant: 210
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+ ```bash
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  Breast_Ultrasound_Images/
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  β”œβ”€β”€ benign/
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  β”‚ β”œβ”€β”€ breast_001_0000.png
 
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  The name of the dataset is `Breast`, whereas the ID is `101`. This information will be required for the nnUNet preprocess inference.
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+ ```bash
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  nnUNet_raw/
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  └── Dataset101_Breast/
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  β”œβ”€β”€ imagesTr/ # Training images
 
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  Note that the name of the dataset is `Breast`, whereas the ID is `101`. This information will be required for the nnUNet train inference.
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+ ```bash
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  nnUNet_preprocessed/
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  └── Dataset101_Breast/
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  β”œβ”€β”€ dataset.json # Metadata file used for training