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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

## Introduction to medical imaging
The first X-ray image appeared in 1895, and it has become an integral part of clinical care. By 2021, the United States alone had created more than **three and a half billion** terabytes of medical images. This opens up enormous opportunities for image analysis, including those listed below:
- Predict pathology using neural networks.
- Measure the shape and size of organs.
- Create 3D reconstructions.
## Formats of medical images








# Introduction to medical imaging
The first X-ray image appeared in 1895, and it has become an integral part of clinical care. By 2021, the United States alone had created more than **three and a half billion** terabytes of medical images. This opens up enormous opportunities for image analysis, including those listed below:
- Predict pathology using neural networks.
- Measure the shape and size of organs.
- Create 3D reconstructions.
# Formats of medical images








We’ll explore medical image formats and learn about their background.

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Medical Imaging Exploration

Introduction to medical imaging

Formats of medical images