The cookie-related information is fully under our control. These cookies are not used for any purpose other than those described here. Unibo policy
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) .