Colorectal Cancer gets developed either in colon or in the rectum inside the large intestine, due to the abnormal growth of the cells. For detection and screening of colon cancer, Computed Tomography (CT) Colonography is a valid technique in which digital images of rectum polyps have been investigated. An improved gradient vector flow (IGVF) and various segmentation techniques of colorectal cancer detection are discussed in this paper. The segmented candidates are characterized by features describing like the polyp shape and its internal intensity distribution. To attain greater accuracy and to produce good segmentation results of colonic polyps is the aim of the segmented candidates. The algorithm that is implemented determines the location and features of gland which are affected by cancer tissues and save this information for the subsequent diagnosis. The proposed algorithm carries out the diagnosis with two modules: The first module detects the glands where the possibly of miss detection is more known as Gland Detection which is being performed in the proposed algorithm using color segmentation either through HSV or LAB transformation. Noise removal and erosion of the input image is performed by enhancing the selection of the affected tissues with proper threshold. Hence to remove the miss detected glands the algorithm proceed for the second module referred as Nuclei Detection.Cite this Article Chhaya Lodhi, Deepali Bisht, AshiSharma et al. Detection and Diagnosisof Colorectal Cancer Using ImageProcessing. Research & Reviews: AJournal of Embedded System &Applications. 2017; 5(1): 11–14p.
