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Overview
What you will learn
On successful completion of the Deep Learning Methods for Medical Image Analysis course offered by KTH Royal Institute of Technology, the student should be able to:
- account for the theoretical background for the methods for deep neural networks used in the context of medical image analysis
- explain the commonly used deep neural network architectures and their functions in medical image analysis
- identify the practical applications in the field of medical image analysis where deep learning can be applied
...in order to:
- be able to prepare medical images for deep learning based methods
- be able to implement, analyze and evaluate common deep neural networks for medical image analysis
- use the basic knowledge acquired during the course to learn more about the area and read literature in the area
Programme Structure
The program focuses on:
- Ssupervised learning and its applications in medical image analysis
- Basic theories of ANN and DNN: Active function, Loss function, gradient descent, layers
- The principle of convolutional neural networks (CNN) and recurrent neural networks (RNN)
- Python and TensorFlow
- Medical image segmentation using CNN and hands-on section with TensorFlow
- Medical image classification using CNN and hands-on section with TensorFlow
- Medical image analysis using RNN and hands-on section with TensorFlow
- Transferred learning and deep features for medical image analysis
- New progress in methods for deep learning
Key information
Duration
- Full-time
- 2 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
TOEFL® IBT 90
IELTS 6.5
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- 4.9/5 student rating
Credits
7 ECTS
7.5 credits
Delivered
On Campus
Campus Location
- Stockholm, Sweden
Disciplines
Artificial Intelligence Machine Learning Medical Imaging View 13 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 Engineering Physics, Electrical Engineering, Computer Science or equivalent.
- 6 credits programming.
- English B/6
Student Insurance via Studyportals Partner
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Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
Applies to you
Applies to youFree
Living costs
Stockholm
Sweden
9668 - 17248 SEK / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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