Loading and preprocessing DICOM images-kaggle

Hi Team

Iam trying to read dicom images in kaggle data set for prediction of x ray chest anamolies .Can someone let me know the steps to do so using dicom package oro.dicom in kaggle?


Hi Gayathri. Do you mind showing us what you've done so far?
With a minimal REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.


This is what Iam trying to do :slight_smile:

  1. I have a [kaggle data set] (https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection) of X ray images in .dicom format
  2. There are two folders - train and test. Train has 15000 images of chest x rays .
  3. There is a train.csv file which has these 15000 images categorised into 1 of 14 categories by radiologists.
    4)Now I would want to convert these images into png or .jpeg format so that I can further preprocess them for prediction modelling

Please let me know the steps to do so


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