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MICCAI tutorialLevel Set Methods, Visual Grouping, Registration and MedicalImage AnalysisImportant announcement: we are sorry to inform you that due to personal reasons S. Osherwill not be able to attend and participate at his scheduled MICCAI tutorial session. N. Paragioswill then be the single orator presenting the material joinlty prepared with S. Osher.For those of you that may want to reconsider their attendance to this tutorial, we o er you tochange for another tutorial of the morning session.We are deeply sorry for this late announcement.The MICCAI organizers.DescriptionImage/Vision-based computer aided diagnosis is a growing has became a frequently employed tool in medicalimaging. The central idea behind such an application is to compare the form appearance of anatomicalstructures of individuals with a model and make a decision based on the di erence between the actualstructure and its projection to the model space. Implicit representations refer to an elegant method torepresent geometrical structures in higher dimension. Their use has grown during the past years because oftheir ability to describe topological structures and multi-component organs and their implicit geometry.The objective of this tutorial is to gradually introduce the audience to the use of such representations,where rst a link between curve propagation and level set methods will be established, then mathematicalformulations that allow their as an optimization will be presented ...
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