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Detection of Cancer Nodule Using Genetic Algorithm


Author(s):

Jinsa Kuruvilla , M.A College of Engineering, Kothamangalam; Preenu Paul, Muthoot Institute of Technology and Science, Varikoli

Keywords:

Computed tomography, genetic algorithm, cross over, mutation, iteration

Abstract:

In this paper Genetic Algorithm is used to detect the location of cancer nodule in Computed Tomography (CT) image of lungs. The lung lobe is applied to the genetic algorithm to find the location of nodule. The pixels of the image are taken as the population. The intensity of the pixel values is taken as the fitness value of the respective chromosomes. During each iteration, the pixels which have fitness values 240 or above are plotted. The plots of the pixels through all the iterations, till the convergence is reached, represents the cancer area of the lungs. With the population size of 1600, the accuracy obtained is 94.2%. With this population size, cancer nodules of size less than 4 mm are not detected. When the population size is increased, small nodules are also detected.


Other Details:

Manuscript Id :IJSTEV2I11108
Published in :Volume : 2, Issue : 11
Publication Date: 01/06/2016
Page(s): 221-224
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