NDLI: Computer-aided detection of Pulmonary Nodules based on SVM in thoracic CT images

Content Provider	IEEE Xplore Digital Library
Author	Eskandarian, P. Bagherzadeh, J.
Copyright Year	2015
Description	Author affiliation: Fac. of Comput. Eng., Urmia Univ., Urmia, Iran (Bagherzadeh, J.) \|\| Comput. Eng. Dept., Islamic Azad Univ., Urmia, Iran (Eskandarian, P.)
Abstract	Computer-Aided diagnosis of Solitary Pulmonary Nodules using the method of X-ray CT images is the early detection of lung cancer. In this study, a computer-aided system for detection of pulmonary nodules on CT scan based support vector machine classifier is provided for the diagnosis of solitary pulmonary nodules. So at the first step, by data mining techniques, volume of data are reduced. Then divided by the area of the chest, the suspicious nodules are identified and eventually nodules are detected. In comparison with the threshold-based methods, support vector machine classifier to classify more accurately describes areas of the lungs. In this study, the false positive rate is reduced by combination of threshold with support vector machine classifier. Experimental results based on data from 147 patients with lung LIDC image database show that the proposed system is able to obtained sensitivity of 89.9% and false positive of 3.9 per scan. In comparison to previous systems, the proposed system demonstrates good performance.
Starting Page	1
Ending Page	6
File Size	603955
Page Count	6
File Format	PDF
ISBN	9781467374835
e-ISBN	9781467374859
DOI	10.1109/IKT.2015.7288770
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-26
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Image segmentation CT imaging Lungs Computed tomography Feature extraction Solitary Pulmonary Nodules Support vector machine Data mining Computer-aided detection Cancer
Content Type	Text
Resource Type	Article

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