Research Article
A Novel Methods of Investigation on Bio-Medical Cancer Tissues using Advanced Clustering Techniques
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 129 - Issue 12 |
| Published: November 2015 |
| Authors: R. Satya Prasad, Marri. Suneetha, R. Mahesh |
10.5120/ijca2015907059
|
R. Satya Prasad, Marri. Suneetha, R. Mahesh . A Novel Methods of Investigation on Bio-Medical Cancer Tissues using Advanced Clustering Techniques. International Journal of Computer Applications. 129, 12 (November 2015), 34-39. DOI=10.5120/ijca2015907059
@article{ 10.5120/ijca2015907059,
author = { R. Satya Prasad,Marri. Suneetha,R. Mahesh },
title = { A Novel Methods of Investigation on Bio-Medical Cancer Tissues using Advanced Clustering Techniques },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 129 },
number = { 12 },
pages = { 34-39 },
doi = { 10.5120/ijca2015907059 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A R. Satya Prasad
%A Marri. Suneetha
%A R. Mahesh
%T A Novel Methods of Investigation on Bio-Medical Cancer Tissues using Advanced Clustering Techniques%T
%J International Journal of Computer Applications
%V 129
%N 12
%P 34-39
%R 10.5120/ijca2015907059
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The paper investigates the performance of three often used clustering techniques, namely hierarchical cluster analysis, k-means and fuzzy c-means algorithms, in infrared analysis on seven oral cancerous FTIR datasets. The diagnostic results from clinical study are considered as the ‘gold standard’ in this paper the proposed system evaluates the clustering results from these three techniques. Corresponding experiments were carried out and the results showed that fuzzy c-means is the most suitable clustering method in this context.
References
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- Richter, T., Steiner, G., Abu-Id, M., Salzer, R., Bergmann, R., Rodig, H., and Johannsen, B., 2002, "Identification of Tumor Tissue by FTIR Spectroscopy in Combination with Positron Emission Tomography", Vibrational Spectroscopy, vol. 28, pp. 103-110.
- Lasch, P., Haensch, W., Naumann, D., and Diem, M, 2004, "Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis", Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, vol. 1688, no. 2, pp. 176-186.
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