Join 2.9 million developers at
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LEARNING OBJECTIVES
- 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
Course OverviewMedical Imaging ExplorationLoading and VisualizationExploration of MetadataExercise: Orientation of the ImageOrientation of the Image Solution ReviewMajority Male Age ExerciseMajority Male Age Solution ReviewChanging Image FormatQuiz: Changing Image FormatData AnonymizationWindowingQuiz: WindowingVisualize the WindowingSegmentation of Medical ImagesAutomatic Lung Segmentationfast.ai Medical Imaging LibraryWindowing with fast.aiScaling with fast.aiAppendixWrap Up!
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ABOUT 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.
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