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Study for Assessing the Advancement of Imaging Techniques in Chest Radiographic Images

by Savitha S.K., N.C. Naveen
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 5
Year of Publication: 2016
Authors: Savitha S.K., N.C. Naveen
10.5120/cae2016652086

Savitha S.K., N.C. Naveen . Study for Assessing the Advancement of Imaging Techniques in Chest Radiographic Images. Communications on Applied Electronics. 4, 5 ( February 2016), 22-34. DOI=10.5120/cae2016652086

@article{ 10.5120/cae2016652086,
author = { Savitha S.K., N.C. Naveen },
title = { Study for Assessing the Advancement of Imaging Techniques in Chest Radiographic Images },
journal = { Communications on Applied Electronics },
issue_date = { February 2016 },
volume = { 4 },
number = { 5 },
month = { February },
year = { 2016 },
issn = { 2394-4714 },
pages = { 22-34 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume4/number5/543-2016652086/ },
doi = { 10.5120/cae2016652086 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:53:37.531291+05:30
%A Savitha S.K.
%A N.C. Naveen
%T Study for Assessing the Advancement of Imaging Techniques in Chest Radiographic Images
%J Communications on Applied Electronics
%@ 2394-4714
%V 4
%N 5
%P 22-34
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the advancement of medical image processing along with computer-aided diagnosis approach, the existing healthcare system is equipped with potential imaging devices (e.g. CT scan, MRI, PET scan etc) that assist precise diagnosis of disease. Although, there is an availability of sophisticated radiological equipments, but sometimes identification of the disease becomes the most challenging task for the physician. This paper discusses mainly about the chest radiographic images and its associated problems that still remain as an open problem in research community. Chest radiographs are normally subjected for preprocessing, feature extraction, and then followed by classification. The paper discusses about the existing research technique for the detection and classification of the disease/abnormalities in chest radiographs. Finally a research gap is explored after reviewing the existing literatures.

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Index Terms

Computer Science
Information Sciences

Keywords

Chest X-Ray Chest Radiograph CT scan MRI Medical Image Processing Tuberculosis Lung Cancer

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