文章基本信息

标题：Development of algorithm for identification of maligant growth in cancer using artificial neural network
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作者：R. Pandian ; D.N.S. Ravi Kumar ; R. Raja Kumar 等
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2020
卷号：10
期号：6
页码：5709-5713
DOI：10.11591/ijece.v10i6.pp5709-5713
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：The precise identification and characterization of small pulmonary nodules at low-dose CT is a necessary requirement for the completion of valuable lung cancer screening. It is compulsory to develop some automated tool, in order to detect pulmonary nodules at low dose ct at the beginning stage itself. The numerous algorithms had been proposed earlier by many researchers in the past, but, the accuracy of prediction is always a challenging task. In this work, an artificial neural network based methodology is proposed to find the irregular growth of lung tissues. Higher probability of detection is taken as a goal to get an automated tool, with great accuracy. The finest feature sets derived from Haralick Gray level co occurrence Matrix and used as the dimension reduction way for feeding neural network. In this work, a binary Binary classifier neural network has been proposed to identify the normal images out of all the images. The capability of the proposed neural network has been quantitatively computed using confusion matrix and found in terms of classification accuracy.
关键词：GLCM;Classificationl;Texture;CT image