Title :
Biomedical image classification by using artificial neural networks
Author :
D. Zumray;O. Tamer;Y. Ertugrul
Author_Institution :
Electr. & Electron. Eng., Istanbul Tech. Univ., Turkey
Abstract :
The multilayer perceptron (MLP) is widely used in classification of biomedical images. However, MLP has numerous problems in classification of biomedical images. In this paper, these problems are solved by using the Grow and Learn (GAL) network. It is observed that GAL gives more successful results than the MLP.
Keywords :
"Biomedical imaging","Artificial neural networks","Signal processing algorithms","Feature extraction","Biomedical signal processing","Multilayer perceptrons","Nonhomogeneous media","Backpropagation","Image segmentation","Neural networks"
Conference_Titel :
Electrotechnical Conference, 1996. MELECON ´96., 8th Mediterranean
Print_ISBN :
0-7803-3109-5
DOI :
10.1109/MELCON.1996.551227
