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. |
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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
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.