vioft2nntf2t|tblJournal|Abstract_paper|0xf4ffe55a130000004b59010001000100 Asthma, Chronic obstructive pulmonary disease, influenza, pneumonia, tuberculosis, lung cancer and many other breathing problems are the leading causes of death and disability all over the world. These diseases affect the lung. Radiology is a primary assessing method with low specificity of the prediction of the presence of these diseases. Computer Assisted Detection (CAD) will help the specialists in detecting one of these diseases in an early stage. A method has been proposed by Ulas Bagci to detect lung abnormalities using Fuzzy connected object estimation, Ball scale encoding and comparing various features extracted from local patches of the lung images (CT scan). In this paper, the Tree-in-Bud patterns are selected after segmentation by using ball scale encoding algorithm.
T. Akilandeswari1, N. Balaganesh2, S. RadhaKrishnan3
Mepco Schlenk Engineering College, India 1, Mepco Schlenk Engineering College, India 2, Kamaraj College of Engineering and Technology, India 3
Computer Assisted Detection, Tree in Bud Opacities, Fuzzy Connectedness, Ball Scale encoding, Wilmore Energy Features, Support Vector Machine
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| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 4 , Issue: 1 , Pages: 645-650 )
Date of Publication :
October 2013
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234
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