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Reseach Article

Lung Nodule Retrieval System

by Gagan Deep, Lakhwinder Kaur, Savita Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 16
Year of Publication: 2013
Authors: Gagan Deep, Lakhwinder Kaur, Savita Gupta
10.5120/10717-4641

Gagan Deep, Lakhwinder Kaur, Savita Gupta . Lung Nodule Retrieval System. International Journal of Computer Applications. 64, 16 ( February 2013), 13-18. DOI=10.5120/10717-4641

@article{ 10.5120/10717-4641,
author = { Gagan Deep, Lakhwinder Kaur, Savita Gupta },
title = { Lung Nodule Retrieval System },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 16 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number16/10717-4641/ },
doi = { 10.5120/10717-4641 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:16:36.588708+05:30
%A Gagan Deep
%A Lakhwinder Kaur
%A Savita Gupta
%T Lung Nodule Retrieval System
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 16
%P 13-18
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Early detection and removal of pulmonary nodules significantly improves long term survival rates for patients with lung cancer. This paper provides the overview of different methods used in the retrieval system of lung nodules by a comprehensive review of existing literature. Firstly, the high level features of DICOM CT images are used for retrieval of filtered lung images from the database. The preprocessing step is used for separation of lungs fields on the filtered images. Linear Binary Pattern extracts the low level features from extracted lung areas to perform the segmentation. The technique of template matching further uses to retrieve the abnormal nodules from Lung data set.

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Index Terms

Computer Science
Information Sciences

Keywords

DICOM CT scans Lung Nodules High Level Features Low Level Features LBP Template Matching