Cancerous Lung Nodules Detection and Classification Based on Computer Aided Diagnosis System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Lung cancer is the leading cause of cancer death among both men and women; about 1 out of 4 cancer deaths are from lung cancer, referring to extraordinary growth of lung nodule in the lung. Computed tomography (CT) scan is employed to detect cancerous lung nodule, which is round lesion with variable size. The methodology used in proposed system uses image processing techniques followed by Region of Interest(ROI) extraction which is further processed by image transformation using Discrete Wavelet Transform (DWT), here db1, db2, db3 and db4 are computed. Further 11 features are computed on transformed image finally two best features are selected as input to Support Vector Machine (SVM) which is used to distinguish diseased image with healthy image.
Authors and Affiliations
Dr. Mallikarjun Swamy, Amit Kumar, Arpit Singh, Nihal Shree, Sangeet Sudhanshu
Keywords
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- EP ID EP24517
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