Medical Image Analysis in Python

Name: Medical Image Analysis in Python
Author: Alimbekov Renat

21 lessons

1h 5min

Created by Alimbekov Renat

What's included

21 lessons across 1 modules
2 quizzes with instant feedback
AI Tutor on every lesson

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What You'll Learn

Understand the medical imaging research
Understand the DICOM and NIfTI-1 Data Format
Understand the task of image segmentation
Learn to apply Windowing and Hounsfield units

Learning Roadmap

21 Lessons2 Quizzes

Certificate of Completion

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About this course

WHY I WROTE THIS COURSE

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.

ABOUT THE AUTHOR

Alimbekov Renat

I live and work in the city of Almaty, Republic of Kazakhstan. I’m currently working as a Deep Learning Scientist/ Machine Learning Engineer. I mainly work with faces and medical images.

Learn more about Alimbekov

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