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

fYear

2007

fDate

17-20 Sept. 2007

Firstpage

1117

Lastpage

1121

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;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE, 2007 Annual Conference

Conference_Location

Takamatsu

Print_ISBN

978-4-907764-27-2

Electronic_ISBN

978-4-907764-27-2

Type

conf

DOI

10.1109/SICE.2007.4421152

Filename

4421152