Title :
Medical image recognition of abdominal X-ray CT images by RBF GMDH-type neural network
Author :
Kondo, Tadashi ; Ueno, Junji
Author_Institution :
Univ. of Tokushima, Tokushima
Abstract :
A radial basis function (RBF) group method of data handling (GMDH)-type neural network algorithm proposed in this paper is applied to the medical image recognition of abdominal X-ray CT images. The optimum neural network architecture for the medical image recognition is automatically organized using RBF GMDH-type neural network algorithm and the regions of abdominal organs such as the liver, stomach and spleen are recognized and extracted accurately.
Keywords :
X-ray imaging; data handling; feature extraction; image recognition; medical image processing; radial basis function networks; RBF GMDH-type neural network; abdominal X-ray CT images; group method of data handling; medical image recognition; radial basis function; Abdomen; Biomedical imaging; Computed tomography; Image recognition; Input variables; Neural networks; Neurons; Polynomials; Testing; X-ray imaging; GMDH; 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.2007.4421151
