Application of Fuzzy Neural Network for Image Tumor Description
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Application of Fuzzy Neural Network for Image Tumor Description

Authors: Nahla Ibraheem Jabbar, Monica Mehrotra

Abstract:

This paper used a fuzzy kohonen neural network for medical image segmentation. Image segmentation plays a important role in the many of medical imaging applications by automating or facilitating the diagnostic. The paper analyses the tumor by extraction of the features of (area, entropy, means and standard deviation).These measurements gives a description for a tumor.

Keywords: FCM, features extraction, medical image processing, neural network, segmentation.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1085347

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2115

References:


[1] J.B.Antiine and Max A.Viergever, "A Survey of Medical Image Registration", Oxford University,October16, 1997.
[2] Dzung L.Pham,Chenyang Xu and Jerry L.Prince, "A Survey of Current Methods in Medical Image Segmenation",Submitted for Publication to Annual Review of Biomedical Enginerring, January, 19, 1998.
[3] Yong Yang, Chongxun Zheng and Pan Lin, "Image Thresholding Based on Spatially Weighted Fuzzy C-means Clusterting", International Conference on Computer and Information Technology, 2004 .
[4] L.O.Hall,A.M.Bensaid,L.P.Clarke,R.P.Velthuizen,M.S.Silbiger and J.C.Bezdek, "A Comparison of Neural Network and Fuzzy Clustering Techniques in Segmenting Magnetic Resonance Image of the Brain," IEEE Trans. neural networks,Vol.3,Iss.5,pp.672-682, 1992.
[5] Nicolos B.Karayiannis, "A Methodology for Constructing Fuzzy Algorithms for Learning Vector Quantization", IEEE Trans Neural Networks,Vol 8,No 3,pp. 505-519,May 1997.
[6] Eric Chen-Kuo Tsao ,Jamec C.Bezdek and Nikhil R.Pal , "Fuzzy Kohonen Clustering Networks, Pattern Recognition," Vol.27, No.5 pp.757-764 , 1994.
[7] Hamdi ATMACA,Mehmet BULUT and Derya DEMIR, "Histogram Based Fuzzy Kohonen Clustering Network for Image Segmentation, "IEEE 1996.