Statistical Shape Modelling: Computing the Human Anatomy

Online Course

Future Learn
Statistical Shape Modelling: Computing the Human Anatomy

What is the course about?

Statistical Shape Modelling: Computing the Human Anatomy
The course Statistical Shape Modelling: Computing the Human Anatomy is an online class provided by University of Basel through Future Learn. It may be possible to receive a verified certification or use the course to prepare for a degree.
Learn the technology of modelling, as used in computational face recognition or in surgeries, with this free online course._x000D_
Course description
  • Learn modern methods that will help shaping the future of medical interventions
  • 8 weeks
  • 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.
  • 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
  • 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
  • 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.
  • University of Basel
  • The University of Basel has an international reputation of outstanding achievements in research and teaching.

Prerequisites & Facts

Statistical Shape Modelling: Computing the Human Anatomy

Course Topic

Healthcare & Medicine, IT & Computer Science, Medical Technology

University, College, Institution

University of Basel

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Statistical Shape Modelling: Computing the Human Anatomy

To obtain a verified certificate from Future Learn / University of Basel you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
University of Basel
Statistical Shape Modelling: Computing the Human Anatomy
provided by Future Learn

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School: University of Basel
Topic: Healthcare & Medicine, IT & Computer Science, Medical Technology
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