International Journal of Advanced Information and Communication Technology


A Survey on Computerized Detection Quantification and Classification of Lung Disease

I. Christa Mary, J. Preethi, Anna University Regional Centre Coimbatore, Tamil Nadu, India.

DOI : 01.0401/ijaict.2014.07.25

International Journal of Advanced Information and Communication Technology

Received On : December 13, 2017

Revised On : January 12, 2017

Accepted On : February 11, 2017

Published On : March 05, 2017

Volume 04, Issue 03

Pages : 635-637

Abstract


Lung is the complex organ that consists of spongy, elastic tissue equipped with structures that infuse our blood with fresh oxygen while ridding it of carbon-dioxide. This paper provides a comprehensive survey of Computer-Aided Diagnosis System (CAD) for early detection of lung disease. Lung diseases are mainly occurred as airway disease, lung tissue disease and lung circulation disease are studied. In the computerized detection and classification of lung image five main methodologies are used. They are image preprocessing, segmentation, feature extraction, feature selection and classification. The comparisons with these methods are described in tab.

Keywords


Computer Aided Diagnosis System, Feature Extraction, Feature Selection, Classification.

Cite this article


I. Christa Mary, J. Preethi, “A Survey on Computerized Detection Quantification and Classification of Lung Disease” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.635-637, March 05, 2017.

Copyright


© 2017 I. Christa Mary, J. Preethi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.