Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : G.N.Jayabhavani | U.Keerthana  unnamed

Volume 03 Issue 07 2016

ISSN no:  2348-3121

Page no: 47-50

Abstract – Cancer in simple term means, abnormal, uncontrolled growth of cells of any organ of the body. Especially in the small bowel where other procedures cannot adequately visualize, colon capsule endoscopy (CCE) is increasingly being used in the diagnosis and clinical management. because CCE generates large amount of images from the whole process of inspection. Computer-aided detection of cancer is considered an indispensable relief to clinicians. In this paper, it reducing the computational complexity to detect cancer using colon capsule Endoscopy (CCE), a two staged fully automated computer-aided detection system is proposed to detect cancer. In this saliency mapping technique is given the difficulty of accurately measuring or even quantifying the internal states of the organism. Experiment results achieve promising more accuracy and sensitivity, validating the effectiveness of the proposed method. 

Keywords— Levenberg Marquardt Algorithm (LMA), Multilevel Superpixel, Saliency Mapping, Saliency Max Pooling Method 


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