Wrap Up!

Let’s wrap up this course with a final note.

We'll cover the following

Here’s what you’ve learned

We hope you had a good experience learning these concepts using Python. By now, you should be able to do the following:

  • Explore medical image formats.
  • Load and visualize DICOM and NIfTI-1 data formats.
  • Explore the metadata of DICOM files.
  • Change the format of medical images.
  • Anonymize data from DICOM images.
  • Apply windowing and its attributes.
  • Visualize the images before and after windowing.
  • Auto-segment medical images.
  • Window and scale using the fast.ai library.

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