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medical.tar.gz

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In this course, you’ll learn the basics of medical image analysis using Python. You will learn to display and interpret X-ray and CT scans. This course uses relevant Python libraries and commands on medical images for format conversion, segmentation, and analyzing metadata. You can successfully complete this course with only a basic understanding of Python and no background in medical imaging.

Medical Image Analysis in Python

## Pixel scaling
The process of scaling pixels to suit a higher-resolution image is known as **pixel scaling**. It’s one of the helpful features of the fast.ai library. We can scale the DICOM pixels of the image manually using `hist_scaled()`.

# Pixel scaling
The process of scaling pixels to suit a higher-resolution image is known as **pixel scaling**. It’s one of the helpful features of the fast.ai library. We can scale the DICOM pixels of the image manually using `hist_scaled()`.

Learn to apply pixel scaling using fast.ai.

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Scaling with fast.ai

Pixel scaling