31 July 2020
Deep Learning for Medical Imaging
Medical technology has a different set of constraints than consumer technology, including needs for sterilization, higher reliability (& associated standards), and customization to varying anatomy. This class will provide an overview of the field of medical technology, with more in-depth explorations of specific domains of knowledge including medical imaging, image analysis, user interfaces and visualization for medical imaging technology.
Current technology and state-of-the-art research will be covered, and the course will examine the constraints of particular environments in the hospital, such as the operating rooms and emergency response vehicles. Additionally, methods of physical prototyping for early design ideas will be discussed. The course will also provide an in-depth exploration of medical image acquisition technologies (MRI, CT, ultrasound, etc.), and the analysis of medical images with an introduction in artificial intelligence (machine learning and deep learning) for diagnosis and treatment through segmentation and computer aided detection.
This course supports OsloMet's ambition to drive progress on the implementation of the United Nations Sustainable Development Goals (SDGs). Among other things through innovation camp challenge.
Students from any field, age and country are welcome to apply! The Summer School is hosted by the Department of Computer Science under the Faculty of Technology, Art and Design at Oslo Metropolitan University.
One half year of university studies (30 ECTS), in addition to the international summer school’s general requirement. The requirement has to be met by application deadline.
Please check the home page for more information regarding prerequisites for this course.
After completing this course the student should have the following learning outcome:
On successful completion of this course the student has knowledge of:
- current topics in medical technology
- medical image acquisition technologies (MRI, CT, ultrasound, etc.)
- the constraints of particular environments in hospitals and other healthcare settings
On successful completion of this course the student can:
- identify barriers and opportunities for the use of technology in health and healthcare
- evaluate the efficacy of health and medical technology from a human-centred design perspective
- critically analyse and evaluate user interfaces in medical imaging
- contribute to designing medical imaging technologies using universal design principles
On successful completion of this course the student:
- can effectively use robotics in hospital and other healthcare settings
- can efficiently use imaging technologies
- understands the role of universal design in the design and evaluation of imaging technologies?
- can explain the usability barriers that clinicians and patients experience using imaging technology
The Summer School consists of 4-week intensive courses, where you will have the chance to take 5 or 10 ECTS credit courses. The 10 ECTS versions requires independent work in addition to the 4 weeks of Summer School.
EUR 100: NOK 1000: All participants at OsloMet International Summer School must pay a summer school fee of 1000 NOK.
This covers participation, arrival service, welcome pack, social program, and excursions.