Medical Image Processing
Learn essential medical image processing techniques using MATLAB, from importing and analyzing 2D/3D medical images to advanced segmentation.
Learn essential medical image processing techniques using MATLAB, from importing and analyzing 2D/3D medical images to advanced segmentation.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Import and analyze various medical image formats
Visualize and manipulate 2D and 3D medical images
Perform image registration and alignment
Implement segmentation techniques for medical images
Use MATLAB's Medical Imaging Toolbox effectively
Apply deep learning concepts with MONAI framework
Skills you'll gain
This course includes:
1 Hours PreRecorded video
3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This comprehensive course focuses on medical image processing using MATLAB and its Medical Imaging Toolbox. Students learn to import and analyze common medical image formats, work with 2D and 3D images, and perform advanced image processing tasks. The curriculum covers volume registration, image segmentation, and labeling techniques essential for medical diagnostics. Through hands-on assignments, learners develop practical skills in processing medical images for disease diagnosis, treatment planning, and patient monitoring.
Working with Medical Images
Module 1 · 53 Minutes to complete
Working with Medical Volumes
Module 2 · 1 Hours to complete
Labeling Medical Images
Module 3 · 1 Hours to complete
Fee Structure
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Instructors
Manager Online Courses
Brandon Armstrong is a Principal Online Content Developer at MathWorks. He earned a Ph.D. in physics from the University of California at Santa Barbara in 2010.
Innovator in Online Learning and Bioengineering
Cris LaPierre is a Senior Online Course Developer at MathWorks, where he specializes in creating engaging, developer-focused courses that leverage MathWorks products. He holds a PhD in Bioengineering from the University of Utah and a BS in Mechanical Engineering from Brigham Young University. Before joining MathWorks, Cris contributed to the development of research hardware for low- and high-field MRI at the Martinos Center for Biomedical Imaging. His role at MathWorks involves collaborating with instructors to design interactive learning experiences on platforms like edX and Coursera, including courses such as "Building Resilient Microservices with Istio" and "Developing Event-Driven Applications with Apache Kafka." Passionate about empowering learners, Cris aims to simplify the process of mastering complex technologies, making it easier for individuals to acquire new skills. He is also an active participant in the Red Hat Learning Community forums, where he engages with learners and educators alike.
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