Description
Python Programming for Medical Imaging, a training course on Python programming for medical imaging is published by Udemy Academy. Test the power of Python in medical imaging with our comprehensive course. This practical training course first teaches the basic principles of Python programming, then the specialized use of libraries suitable for medical imaging. Learn how to manipulate, preprocess, and analyze medical images using the powerful tools provided by MONAI, a leading framework for medical imaging. This course begins with an introduction to Python, followed by an in-depth review of the essential libraries used in medical imaging.
In the following, we will review MONAI, its unique features and how to use it for effective preprocessing and analysis of medical imaging data. Whether you are a practitioner, researcher or computer scientist looking to invest in medical imaging, this course will provide you with the tools and knowledge you need. Through a combination of lectures, practical examples, and problem solving, you’ll gain a thorough understanding of Python, its relevance in medical imaging, and how to use MONAI for your own projects. By the end of the course you will be confident in your abilities to control, process and analyze medical imaging data and pave your way to a rewarding career in this exciting chapter of healthcare and technology.
What you will learn
- Start your first program in Python
- Prepare your environment for Python programming language
- Installing medical reference libraries for Python
- Learning to read and write medical imaging using Python
- Learn how to visualize medical images using MATLAB
- Read/write nifti files
- Preprocessing of medical imaging files using Python and MONAI
Who is this course suitable for?
- Python beginners
- Beginners in the field of medical imaging
Python Programming for Medical Imaging course specifications
At the beginning of the course seasons on 2023-6
Course prerequisites
- No programming experience needed
Pictures
Sample video
Installation guide
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Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.39 GB
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