Published 6/2023
Created by Mohammed El Amine Mokhtari
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 5h 54m ) | Size: 1.6 GB
Harnessing Libraries & MONAI for Effective Data Preprocessing
What you’ll learn
Start your first program on Python
Setup your environment for Python programming language
Install medical imaigng libraries for Python
Learn how to read/write medical imaging using Python
Learn how to visualize medical images using Matplotlib
Read/write nifti files
Preprocess you medical imaging files using Python and MONAI
Requirements
No programming experience needed
Description
Unlock the power of Python in the field of medical imaging with our comprehensive course! This hands-on training program takes you on a journey from the basics of Python programming to the specialized use of libraries tailored for medical imaging. Learn how to manipulate, preprocess, and analyze medical images using the robust tools provided by MONAI, a leading framework for healthcare imaging.The course begins with an introduction to Python, followed by a deep-dive into essential libraries used in the medical imaging domain. You’ll then explore MONAI, its unique features, and how it can be used for effective preprocessing and analysis of medical imaging data. Whether you’re a healthcare professional, researcher, or computer scientist looking to venture into medical imaging, this course offers the tools and knowledge you need.Through a mix of lectures, practical examples, and problem-solving tasks, you’ll gain a solid understanding of Python, its relevance in medical imaging, and how to leverage MONAI for your healthcare projects. By the end of the course, you’ll be confident in your abilities to handle, process, and analyze medical imaging data, paving your way towards a rewarding career in this exciting intersection of healthcare and technology.See you in the course.
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