Paper Title
A New Algorithm For Classification Of Lung Diseases

Abstract
Lung diseases are the disorders that affect the lungs, the organs that allow us to breathe and it is the most common medical conditions worldwide especially in India. In this paper, an automated approach for classification of the lung diseases using CT images is presented. The lung CT image is engaged as the input. The median filter is applied to remove the salt and the pepper noises and the pre processed images are given as input for feature extraction where the useful features of the images are extracted and the extracted features are selected by the using hybrid genetic\particle swarm optimization algorithm method .In this paper new proposed method for classification of lung diseases is shown. Keywords - Classification, Genetic Algorithm, Ct, Particle Swarm Optimization, Feature Extraction.

Author - Tejinder Kaur, Neelakshi Gupta

Published : Volume-2, Issue-9  ( Sep, 2015 )

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