Detection and Diagnosis of Colorectal Cancer Using Image Processing

Authors

  • Chhaya Lodhi
  • Deepali Bisht Department of Computer Science and Engineering, Dronacharya Group of Institutions, Greater Noida, Uttar Pradesh, India
  • Ashi Sharma Department of Computer Science and Engineering, Dronacharya Group of Institutions, Greater Noida, Uttar Pradesh, India
  • Vivek Kumar Department of Computer Science and Engineering, Dronacharya Group of Institutions, Greater Noida, Uttar Pradesh, India

Keywords:

Colorectal Cancer, CT Colonography, IGVF, Image Segmentation, Gland Detection, Nuclei Detection

Abstract

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.

Published

2017-05-21

Issue

Vol. 5 No. 1 (2017)

Section

Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.