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Overview
What you will study
The Introduction to Medical Image Analysis course offered by KTH Royal Institute of Technology course covers concepts, theories, and the most used methods in image analysis. The course is focused on solving medically relevant problems.
After completing the course, the participant should be able to:- Understand the main problems and challenges in image analysis
- Describe the main principles and methods and the main differences between them
- Summarize the advantages and disadvantages and scope of different methods
- Identify and understand the mathematical theory behind the most used methods
- Develop and systematically evaluate different methods for solving simplified problems
- Analyze the effect of different parameters of the methods in particular situations
- Explain the proposed strategy for solving specific problems
- understand the complete workflow for using computational tools for image analysis in a medical context
- be able to implement computational solutions in image analysis to medically relevant problems
- have a broad knowledge base that can facilitate understanding literature in the field
Programme Structure
The program focuses on:
- Feature extraction
- Image classification
- Image regression
- Machine learning and deep learning for image analysis
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
TOEFL® IBT 90
IELTS 6.5
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- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
2 ECTS
Delivered
Online
Campus Location
- Stockholm, Sweden
Disciplines
Medical Imaging View 8 other Short Courses in Medical Imaging in SwedenWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
TOEFL® IBT 90
IELTS 6.5
Prepare for Your English Test
Cathoven AI IELTS Preparation AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Bachelor's degree in Medical Technology, Engineering Physics, Electrical Engineering, Computer Science or equivalent.
- At least 6 credits in programming.
- English B/English 6.
Tuition Fees
Funding
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