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Reseach Article

Fuzzy Rule based Classification of Microscopic Images of Squamous Cell Carcinoma of Esophagus

by P.S. Hiremath, Humnabad Iranna Y.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 11
Year of Publication: 2011
Authors: P.S. Hiremath, Humnabad Iranna Y.
10.5120/3156-4366

P.S. Hiremath, Humnabad Iranna Y. . Fuzzy Rule based Classification of Microscopic Images of Squamous Cell Carcinoma of Esophagus. International Journal of Computer Applications. 25, 11 ( July 2011), 30-33. DOI=10.5120/3156-4366

@article{ 10.5120/3156-4366,
author = { P.S. Hiremath, Humnabad Iranna Y. },
title = { Fuzzy Rule based Classification of Microscopic Images of Squamous Cell Carcinoma of Esophagus },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 11 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number11/3156-4366/ },
doi = { 10.5120/3156-4366 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:32.969282+05:30
%A P.S. Hiremath
%A Humnabad Iranna Y.
%T Fuzzy Rule based Classification of Microscopic Images of Squamous Cell Carcinoma of Esophagus
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 11
%P 30-33
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we present a novel method based on active contours for segmentation and fuzzy rule based classification of microscopic images of esophagus tissues obtained from the abnormal regions of human esophagus detected through endoscopy. This method is used for classification of Squamous Cell Carcinoma (SCC) of esophagus, namely, well differentiated (WD), moderately differentiated (MD), and poorly differentiated (PD) SCC. The multi-grid active contour method is used for cell nuclei segmentation, three geometric features are used feature extraction and a fuzzy rule based classifier is built for classification of SCC. The experimental results demonstrate the efficacy of the proposed method.

References
  1. Takeo Kanade, Zhaozheng Yin, Ryoma Bise, Seungil Huh, Sugngeun Eom, Michael F. Sandbothe and Mei Chen, January 2011, Cell Image Analysis: Algorithms, System and Applications, IEEE workshop on Applications of Computer Vision (WACV), 374-381.
  2. K.Oota, L.H. Sobin, 1977. Histological typing of gastric and oeophageal tumours, World Health Organization, Geneva, Printed in Switzerland, 33-35.
  3. Toshiyuki Tanaka, Tomoo Jike, Teruaki Oka, October 2001. Cell nucleus segmentation of skin tumor using image processing, Proceedings of the 23rd Annual EMBS International Conference, Istanbul, Turkey, 2716-2719.
  4. Yongming Chen, Kevin Biddeli, Aiying Sun, Patricia A. Relue, Jeffrey D. Johonson, 1999. An Automatic Cell Counting Method for Optical Images, Proceedings of the First Joint BMES/EMBS Conference, Atlantic, 819.
  5. Dwi Anoraganingrum, 1999. Cell Segmentation With Median Filter and Mathematical Morphology Operations, Proceedings of International Conference on Image Analysis and Processing, 1043-1046.
  6. Hazem Refai, Lun Li, T. Kent Teague, R. Naukam, September 2003. Automatic count of hepatocytes in microscopic images, Proceedings of International Conference on Image Processing, ICIP-2003, II-1101-1104.
  7. V. Caselles, R.Kimmel and G. Sapiro, Geodesic Active Contours, Int’l J. Comp. Vision, Vol 22 No.1, 1977, 61-69.
  8. S.Oshar and J.A.Sethian, Fronts Propagating with Curvature Dependent Speed: Algorithm Based on Hamilton Jacobi Formulation, J.Compact Phy. Vol.79, 1988, pp. 12-49.
  9. A. Brandt, Multi-level Adaptive Solutions to Boundary-value Problems, Math. Comp. Vol. 31 No. 138, 1977, .333-390.
Index Terms

Computer Science
Information Sciences

Keywords

esophagus microscopic image squamous cell carcinoma geometric features active contour segmentation