International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,May 2016,

Topic : Colorectal Cancer Identification in CT Images based on Image Segmentation Techniques

Authors:Sobiya Ambreen || Narayana Swamy G

Abstract:Colorectal cancer is a lethal disorder and a cancer, third most commonly found that will lead to death in both men and women. Computed Tomography (CT) imaging technique has become a primary method for detection and staging in those patients who are suffering from Colorectal cancer. In this paper CT images of the patients suffering from Colorectal cancer, who are in the beginning stages are used to detect the area and mean values of tumor area using Image segmentation techniques. This paper describes algorithms for preprocessing, clustering and post processing of CT images. The paper uses image enhancement techniques, clustering using adaptive k-means algorithm and it is implemented using MATLAB..

Keywords: Colorectal Cancer, Computed Tomography, Adaptive K-Means Algorithm, Improved Histogram based Spatial Fuzzy C Mean (IHSFCM) Algorithm.

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DOI: 01.1617/vol3iss5pid278


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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