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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

## What does this course cover?
In this course, we will do the following:
* Get an introduction to medical imaging research.
* Understand **DICOM** and **NIfTI-1** data formats.
* Learn to analyze meta tags
* Convert and anonymize data.
* Learn about **windowing** and **Hounsfield units** and how to apply them
* Understand the task of image segmentation.
* Explore third-party libraries for medical image segmentation.
* Get to know **`fastai.medical.imaging`**. 
 

This course will not include deep learning. We’ll focus on the medical imaging formats only.
## Who should take this course?

If you’re just getting started with Python, this course probably isn’t for you just yet. The audience for this course is programmers who have a basic working knowledge of Python. This course is not intended for Python beginners.




### Required libraries

* **Matplotlib**
* **NumPy**
* **pandas**
* **OpenCV** and **skimage** are optional but helpful.

It is also advisable to have experience with the Linux command line. All examples in this course are written in **`Python 3.8`**.


# What does this course cover?
In this course, we will do the following:
* Get an introduction to medical imaging research.
* Understand **DICOM** and **NIfTI-1** data formats.
* Learn to analyze meta tags
* Convert and anonymize data.
* Learn about **windowing** and **Hounsfield units** and how to apply them
* Understand the task of image segmentation.
* Explore third-party libraries for medical image segmentation.
* Get to know **`fastai.medical.imaging`**. 
 

This course will not include deep learning. We’ll focus on the medical imaging formats only.
# Who should take this course?

If you’re just getting started with Python, this course probably isn’t for you just yet. The audience for this course is programmers who have a basic working knowledge of Python. This course is not intended for Python beginners.




## Required libraries

* **Matplotlib**
* **NumPy**
* **pandas**
* **OpenCV** and **skimage** are optional but helpful.

It is also advisable to have experience with the Linux command line. All examples in this course are written in **`Python 3.8`**.


Let’s look at the brief overview of the course.

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Course Overview

What does this course cover?

Who should take this course?

Required libraries