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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

## About fast.ai
**fast.ai** is an actively developing deep learning library that allows us to train neural networks quickly and easily. It is a widely-used resource with high-level components. This library greatly simplifies working with **DICOM** files.


## Getting started
We’ll test everything on the previously used file. Converting `pixel_array` to `TensorImage` like `torch.uint8()`will give us our first cool feature. 




# About fast.ai
**fast.ai** is an actively developing deep learning library that allows us to train neural networks quickly and easily. It is a widely-used resource with high-level components. This library greatly simplifies working with **DICOM** files.


# Getting started
We’ll test everything on the previously used file. Converting `pixel_array` to `TensorImage` like `torch.uint8()`will give us our first cool feature. 




Learn the fast.ai library and its usage with our code.

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fast.ai Medical Imaging Library

About fast.ai

Getting started