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Los Angeles Classification of Esophagitis using Image Processing Techniques

by Santosh S. Saraf, G. R. Udupi, Santosh D. Hajare
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 18
Year of Publication: 2012
Authors: Santosh S. Saraf, G. R. Udupi, Santosh D. Hajare
10.5120/5797-8160

Santosh S. Saraf, G. R. Udupi, Santosh D. Hajare . Los Angeles Classification of Esophagitis using Image Processing Techniques. International Journal of Computer Applications. 42, 18 ( March 2012), 45-50. DOI=10.5120/5797-8160

@article{ 10.5120/5797-8160,
author = { Santosh S. Saraf, G. R. Udupi, Santosh D. Hajare },
title = { Los Angeles Classification of Esophagitis using Image Processing Techniques },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 18 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 45-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number18/5797-8160/ },
doi = { 10.5120/5797-8160 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:31:41.644448+05:30
%A Santosh S. Saraf
%A G. R. Udupi
%A Santosh D. Hajare
%T Los Angeles Classification of Esophagitis using Image Processing Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 18
%P 45-50
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Esophagitis is a condition of inflammation of the esophageal mucosa, which is also called as acid reflux disease. The cause maybe be due to slackness of the lower esophageal sphintcer which allows acidic contents of the food from stomach to esophagus. Esophagitis is detected by observing the esophagus by video endoscopy of the Upper Gastro-Intestinal tract. The classification of esophagitis is done by analyzing the images captured during the process of endoscopy. Classification of Esophagitis has many standards , with each standard having its plus and minus. The Los Angeles(LA) Classification deals with precise measurement of the mucosal breaks, for an image processing system to measure the mucosal breaks the position of the camera is to be known. We attempt to classify the Esophagitis using LA Classification without the camera position information using low level image features and classification is performed using a neural network classifier. The results of the classifier are compared with inter and intra observer variability studies.

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Index Terms

Computer Science
Information Sciences

Keywords

Medical Diagnosis Esophagitis Image Processing Neural Network Classifiers

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