As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
A new segmentation method using deformable models was defined for medical image segmentation. As deformable model we used Topological Active Nets, model which integrates features of region-based and boundary-based segmentation techniques. The model deformation is controlled by an Artificial Neural Network (ANN) that learns how to move the nodes of the model based on their energy surrounding. The ANN is applied to each of the nodes and in different temporal steps until the final segmentation is reached. The ANN training is obtained by simulated evolution, using Differential Evolution to automatically obtain the ANN that provides the emergent segmentation. The methodology was adapted and tested in two different medical domains, that is, CT medical images and eye fundus images to demonstrate the potential of the segmentation technique.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.