Segmentation of Biomedical Images - Algorithms and ApplicationsMS30

The computational segmentation of biomedical images is very challenging, and it is usually tackled using, for example, deformable models, statistical, geometrical and physical modelling, and/or artificial classifiers. Examples of applications include the segmentation of: skin lesions, lungs, heart, brain, ear, and related structures, just to name a few. In this lecture, algorithms of biomedical image segmentation that we have developed will be presented, and examples of their use in real cases discussed.

This presentation is part of Minisymposium “MS30 - Imaging, Modeling, Visualization and Biomedical Computing (2 parts)
organized by: Cristian Linte (Biomedical Engineering and Center for Imaging Science, Rochester Institute of Technology) , Suzanne Shontz (University of Kansas) .

João Manuel R. S. Tavares (Faculty of Engineering of the University of Porto)
artificial classifiers, deformable models, image segmentation, medical imaging