Title :
Three dimensional medical images of the lungs and brain recognized by artificial neural networks
Author :
Matuki, Takaomi ; Kudo, Tsuyoshi ; Kondo, Tadashi ; Ueno, Junji
Author_Institution :
Univ. of Tokushima, Tokushima
Abstract :
In this study, three dimensional medical images of the lungs and brain are recognized and extracted by artificial neural networks. The neural networks used in this paper are the conventional sigmoid function neural network trained using back propagation (BP) algorithm and radial basis function (RBF) neural network. We compared the recognition results of these neural networks and determine which neural network is better for the medical image recognition of the lungs and brain.
Keywords :
backpropagation; brain; feature extraction; image recognition; lung; medical image processing; radial basis function networks; 3D medical image recognition; BP algorithm; RBF neural network; artificial neural networks; back propagation; brain images; lung images; radial basis function network; sigmoid function neural network training; Artificial neural networks; Back; Biological neural networks; Biomedical imaging; Blood vessels; Image processing; Image recognition; Input variables; Lungs; Neurons; 3-dimensional image; Medical image recognition; Neural network;
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
DOI :
10.1109/SICE.2007.4421152
