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Update README.md

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@@ -37,12 +37,12 @@ This dataset is intended for kidney abnormality classification.
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  ### Direct Use
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  <!-- This section describes suitable use cases for the dataset. -->
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-
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  ### Out-of-Scope Use
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  <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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- This dataset cannot be utilized for segmentation task since no ground truth data
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  ## Dataset Initial Processing
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@@ -50,7 +50,17 @@ This dataset cannot be utilized for segmentation task since no ground truth data
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  ## Dataset Structure
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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  ## Dataset Creation
 
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  ### Direct Use
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  <!-- This section describes suitable use cases for the dataset. -->
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+ By loading this dataset, it can output transformed images (mnumpy array dtype=uint32, and have broken down to sequence of images rather than multiple layer images), the original image path (numpy array dtype=float64 after loading), and the image label. Along with these information, various classification task can be performed.
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  ### Out-of-Scope Use
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  <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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+ This dataset cannot be utilized for segmentation task since no ground truth image included.
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  ## Dataset Initial Processing
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  ## Dataset Structure
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+ - kidney_CT
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+ - kidney_CT.zip
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+ - train
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+ - kidneyabnormalityKiTS-xxxx_0000.mha (The 'KiTs' can be replaced by 'RUMC', the 'xxxx' is a four-digits number, serving as image number)
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+ - ...
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+ - test
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+ - kidneyabnormalityKiTS-xxxx_0000.mha (The 'KiTs' can be replaced by 'RUMC', the 'xxxx' is a four-digits number, serving as image number)
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+ - ...
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+ - dataset_m.json
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+ - {"image":"kidneyabnormalityKiTS-0000_0000.mha","split":"train","abnormality":0}
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+ - ...
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  ## Dataset Creation