15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02) Segmentation of Ultrasound Images by Using Quantizer Neural Network Maribor, Slovenia June 04-June 07 ISBN: 0-7695-1614-9
Quantizer neural network (QNN) is proposed for the segmentation of ultrasound images. The elements of the feature vectors are formed by the image intensities within one neighborhood of the pixel of interest. QNN is a hybrid neural network structure, which is trained by genetic algorithms. Genetic algorithms are used to find optimum values for the weights of the nodes The hybrid neural network is comparatively examined with multilayer perceptron (MLP) for the segmentation of ultrasound images.
Citation:
Zümray Dokur, Mehmet Nadir Kurnaz, Tamer Ölmez, "Segmentation of Ultrasound Images by Using Quantizer Neural Network," cbms, pp.257, 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02), 2002 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||