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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
Zümray Dokur, Istanbul Technical University
Mehmet Nadir Kurnaz, Istanbul Technical University
Tamer Ölmez, Istanbul Technical University
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
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