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A Survey on the State of Art Techniques for the Identification of Polyps for Colorectal Cancer

K. Gayathri Devi1 , C. Makesh2

Section:Survey Paper, Product Type: Journal Paper
Volume-06 , Issue-08 , Page no. 106-113, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6si8.106113

Online published on Oct 31, 2018

Copyright © K. Gayathri Devi, C. Makesh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: K. Gayathri Devi, C. Makesh, “A Survey on the State of Art Techniques for the Identification of Polyps for Colorectal Cancer,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.08, pp.106-113, 2018.

MLA Style Citation: K. Gayathri Devi, C. Makesh "A Survey on the State of Art Techniques for the Identification of Polyps for Colorectal Cancer." International Journal of Computer Sciences and Engineering 06.08 (2018): 106-113.

APA Style Citation: K. Gayathri Devi, C. Makesh, (2018). A Survey on the State of Art Techniques for the Identification of Polyps for Colorectal Cancer. International Journal of Computer Sciences and Engineering, 06(08), 106-113.

BibTex Style Citation:
@article{Devi_2018,
author = {K. Gayathri Devi, C. Makesh},
title = {A Survey on the State of Art Techniques for the Identification of Polyps for Colorectal Cancer},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {06},
Issue = {08},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {106-113},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=485},
doi = {https://doi.org/10.26438/ijcse/v6i8.106113}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.106113}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=485
TI - A Survey on the State of Art Techniques for the Identification of Polyps for Colorectal Cancer
T2 - International Journal of Computer Sciences and Engineering
AU - K. Gayathri Devi, C. Makesh
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 106-113
IS - 08
VL - 06
SN - 2347-2693
ER -

           

Abstract

Computer Aided Diagnosis (CAD) is available for automatic detection of suspicious colorectal polyps in the CT images of the colon. These schemes help the radiologist to identify the location of the polyps in an efficient and accurate manner. A detailed survey was made on the different CAD scheme proposed by different authors for the detection of different categories of polyps. The different CAD schemes was implemented by incorporating some modification in the segmentation phase such as automatic colon segmentation or vary the identification of features in the feature extraction phase in the classical polyp detection system for the identification of polyps. Their performances were measured by two parameters sensitivity and specificity. Thus the ultimate aim of the authors was to improve the sensitivity and decrease the chance of missing sessile and flat polyps, with acceptable false-positive rates.

Key-Words / Index Term

Computer Aided Detection, Virtual Colonoscopy, Polyps, Polyp detection

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