Update README.md

README.md

@@ -45,11 +45,13 @@ By loading this dataset, it can output transformed images (mnumpy array dtype=ui
 This dataset cannot be utilized for segmentation task since no ground truth image included.
 
 ## Dataset Initial Processing
-
+- Train-Test soplit: The train test split were created to fit for further classification task. Images are distributed to train/test folder randomly.
+- Metadata modification: The original json file includes other information like brief descriptions and license. Only image file name, corresponding labels (Normal: 0, Abnormal: 1) were preserved, and train-test split information were added. Note that the original file name in the json file did not match the image file name (format issue), thus also gone through modificaitons.
 
 ## Dataset Structure
 
 <!-- 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. -->
+Image data ()
 - kidney_CT
  - kidney_CT.zip
  - train
@@ -58,6 +60,7 @@ This dataset cannot be utilized for segmentation task since no ground truth imag
  - test
  - kidneyabnormalityKiTS-xxxx_0000.mha (The 'KiTs' can be replaced by 'RUMC', the 'xxxx' is a four-digits number, serving as image number)
  - ...
+Metadata (annotations indicating the abnormality status of the image, and whether sperate to train or test group)
 - dataset_m.json
  - {"image":"kidneyabnormalityKiTS-0000_0000.mha","split":"train","abnormality":0}
  - ...