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A Recent Survey on Colon Cancer Detection Techniques
May-June 2013 (vol. 10 no. 3)
pp. 545-563
Saima Rathore, Dept. of Comput. & Inf. Sci., Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
Mutawarra Hussain, Dept. of Comput. & Inf. Sci., Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
Ahmad Ali, Dept. of Comput. & Inf. Sci., Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
Asifullah Khan, Dept. of Comput. & Inf. Sci., Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
Colon cancer causes deaths of about half a million people every year. Common method of its detection is histopathological tissue analysis, which, though leads to vital diagnosis, is significantly correlated to the tiredness, experience, and workload of the pathologist. Researchers have been working since decades to get rid of manual inspection, and to develop trustworthy systems for detecting colon cancer. Several techniques, based on spectral/spatial analysis of colon biopsy images, and serum and gene analysis of colon samples, have been proposed in this regard. Due to rapid evolution of colon cancer detection techniques, a latest review of recent research in this field is highly desirable. The aim of this paper is to discuss various colon cancer detection techniques. In this survey, we categorize the techniques on the basis of the adopted methodology and underlying data set, and provide detailed description of techniques in each category. Additionally, this study provides an extensive comparison of various colon cancer detection categories, and of multiple techniques within each category. Further, most of the techniques have been evaluated on similar data set to provide a fair performance comparison. Analysis reveals that neither of the techniques is perfect; however, research community is progressively inching toward the finest possible solution.
Index Terms:
patient diagnosis,cancer,colon biopsy images,colon cancer detection techniques,deaths,histopathological tissue analysis,pathologist tiredness,pathologist experience,pathologist workload,spectral-spatial analysis,Colon,Cancer,Cancer detection,Image segmentation,Computational biology,Bioinformatics,Biopsy,gene,patient diagnosis,cancer,colon biopsy images,colon cancer detection techniques,deaths,histopathological tissue analysis,pathologist tiredness,pathologist experience,pathologist workload,spectral-spatial analysis,Colon,Cancer,Cancer detection,Image segmentation,Computational biology,Bioinformatics,Biopsy,blood serum analysis,Colon biopsy,colon cancer,texture,hyperspectral
Citation:
Saima Rathore, Mutawarra Hussain, Ahmad Ali, Asifullah Khan, "A Recent Survey on Colon Cancer Detection Techniques," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 3, pp. 545-563, May-June 2013, doi:10.1109/TCBB.2013.84
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