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Image Segmentation: Computational Approaches for Medical Images

Published on May 2014 by Rupanka Bhuyan, Samarjeet Borah
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National Conference cum Workshop on Bioinformatics and Computational Biology
Foundation of Computer Science USA
NCWBCB - Number 3
May 2014
Authors: Rupanka Bhuyan, Samarjeet Borah
d74f1a63-98ef-4555-b1be-04e34174f269

Rupanka Bhuyan, Samarjeet Borah . Image Segmentation: Computational Approaches for Medical Images. National Conference cum Workshop on Bioinformatics and Computational Biology. NCWBCB, 3 (May 2014), 13-17.

@article{
author = { Rupanka Bhuyan, Samarjeet Borah },
title = { Image Segmentation: Computational Approaches for Medical Images },
journal = { National Conference cum Workshop on Bioinformatics and Computational Biology },
issue_date = { May 2014 },
volume = { NCWBCB },
number = { 3 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 13-17 },
numpages = 5,
url = { /proceedings/ncwbcb/number3/16522-1424/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference cum Workshop on Bioinformatics and Computational Biology
%A Rupanka Bhuyan
%A Samarjeet Borah
%T Image Segmentation: Computational Approaches for Medical Images
%J National Conference cum Workshop on Bioinformatics and Computational Biology
%@ 0975-8887
%V NCWBCB
%N 3
%P 13-17
%D 2014
%I International Journal of Computer Applications
Abstract

Image segmentation is a prominent problem of research in the field of computer science and an evolving concept. No perfect solution to this problem has been found till date. This paper presents some of the fundamental concepts in image segmentation and lay special emphasis on images used in the medical domain. Certain commonly found problems which are inherent in medical images are also discussed. Various approaches for segmenting medical images and related issues have been discussed. Observations are being made on the approaches, issues and their relative merits and demerits.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Mri Ct Thresholding Region-growing Classifiers Clustering Mrf Models Ann Atlas Guided Methods Level Set Models Deformable Models.