A SURVEY OF COLORECTAL CANCER DETECTION USING VARIOUS SEGMENTATION TECHNIQUES IN IMAGE PROCESSING |
Author(s): |
| SHANTHA LAKSHMI G , JAMAL MOHAMED COLLEGE, INDIA; B. Mohamed Faize Basha, Jamal Mohamed College; M. Mohamed Surputheen, Jamal Mohamed College |
Keywords: |
| Colorectal cancer, CT Colonography, Image Segmentation, Virtual Colonoscopy, Deformable surface. |
Abstract |
|
Colorectal cancer is cancer that starts in the colon or the rectum inside the large intestine. Detecting and screening of colorectal cancers are done by a Computed Tomography (CT) colonography. Digital images of colon polyps are analyzed to detect the colon cancer at an early stage. The goal of segmentation approach is to segment the cancer region accurately. In this paper, various segmentation techniques of colorectal cancer detection are discussed. Several methods and algorithms are used to capture the thin boundary of the cancer images. The segmented candidates are typically characterized by features describing like the polyp shape and its internal intensity distribution. The aim of each paper is to attain greater accuracy and to produce good segmentation results of colonic polyps. |
Other Details |
|
Paper ID: IJSRDV2I4281 Published in: Volume : 2, Issue : 4 Publication Date: 01/07/2014 Page(s): 640-642 |
Article Preview |
|
|
|
|
