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Statistical Shape Modelling: Computing the Human Anatomy

Learn the technology of modelling, as used in computational face recognition or in surgeries, with this free online course.

6,088 enrolled on this course

Statistical Shape Modelling: Computing the Human Anatomy
  • Duration8 weeks
  • Weekly study4 hours

Learn modern methods that will help shaping the future of medical interventions

Statistical shape models are one of the most important technologies in computer vision and medical image analysis. With this technology, the computer learns the characteristic shape variations of an object or organ. The model resulting from this analysis may then be used in implant design, image analysis, surgery planning and many other fields.

In this free online course, you will get insights from mathematics, statistics and machine learning, in order to address practical problems, as well as a theoretical and practical introduction to the open source software Scalismo.

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What topics will you cover?

  • Modelling families of anatomical shapes
  • Basic theory of Gaussian Processes for modelling shape variations
  • Usage of the shape modelling software Scalismo
  • Building classical statistical shape models from example data
  • Reconstruction of partially observed shapes
  • Fitting statistical shape models to surfaces
  • Establishing point-to-point correspondence between example shapes
  • Fitting statistical shape models to images

When would you like to start?

  • Date to be announced

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What will you achieve?

By the end of the course, you‘ll be able to...

  • Model the normal shape variations of anatomical shapes using Gaussian processes
  • Explore the mathematical concept of Gaussian processes visually on 3D shapes
  • Apply the theoretical concepts of shape modelling to clinically relevant problems in shape and image analysis
  • Develop programs for building and fitting statistical shape models to images using the open source software Scalismo

Who is the course for?

This course is intended for students and professionals with a Bachelor in computer science, medical imaging professionals and biological anthropologists, who are interested in top-notch research, scientific insights and a useful application.

Although you can watch the videos, read the articles, and complete the tests and quizzes on mobile devices such as smartphones or tablets, you will have to install the free software Scalismo on your own workstation in order to use it – there is no online version available.

In order to be able to do this, your computer should meet the following minimum system requirements: Windows (32bit/64bit), Mac OS X or Linux (64bit), 4GB of RAM, 500MB of free HD space. There are no special requirements for the graphic adapter.

What software or tools do you need?

To take part in this course, you need to download and install Scalismo Lab and create your account on SMIR.

What do people say about this course?

Very excellent course. Great mix of theory and practical application.

Adam Henderson
A previous learner on this course

Who will you learn with?

I am researcher in computer science at the University of Basel. My research focus is the mathematical modelling of shapes and its application to medical image analysis.

I am a scientific collaborator at the mathematics and computer science department of the University of Basel and one of the developers of Scalismo: https://github.com/unibas-gravis/scalismo

Who developed the course?

University of Basel

The University of Basel has an international reputation of outstanding achievements in research and teaching.