Title :
CNNUM-Based Methods Using Deformable Contours on Smooth Boundaries
Author :
Szabo, Tamas ; Szolgay, Peter
Author_Institution :
Dept. of Image Process. & Neurocomput., Pannonia Univ., Veszprem
Abstract :
In this paper two methods are presented. A CNNUM-based method is shown to quantify the displacement of the normal interhemisperic bilateral symmetry line. The method uses a deformable open contouring technique. Another method has been developed to detect bilateral asymmetries. These methods are implemented on the CNN-UM
Keywords :
brain; cellular neural nets; edge detection; image segmentation; medical image processing; cellular neural network; deformable open contouring technique; interhemisperic bilateral symmetry line; universal machine; Active contours; Anatomical structure; Biomedical imaging; Computed tomography; Computer networks; Electronic mail; Image resolution; Image segmentation; Magnetic resonance; Pixel; contour; deformable; segmentation; snake;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0640-4
Electronic_ISBN :
1-4244-0640-4
DOI :
10.1109/CNNA.2006.341651
