Early detection of lung cancer using SVM classifier in biomedical image processing

Deep Prakash Kaucha, P. W.C. Prasad, Abeer Alsadoon, A. Elchouemi, Sasikumaran Sreedharan

Research output: Book chapter/Published conference paperConference paperpeer-review

17 Citations (Scopus)

Abstract

Image processing techniques are now commonly used in the medical field for early detection of diseases. This research aims to improve accuracy, sensitivity and specificity of early detection of lung cancer through a combination of image processing techniques and data mining. The Computed Tomography (CT) scan image of the lungs is pre-processed and the Region of Interest (ROI) segmented, retained and compressed using a DWT (Discrete Waveform Transform) technique. The resulting ROI image is decomposed into four sub frequencies, bands LL, HL, LH, and HH. Again, the LL sub frequency is decomposed into four sub-bands, applying a 2-level DWT to the ROI based image. Further, features such as entropy, co-relation, energy, variance and homogeneity are extracted from the 2-level DWT images using a GLCM (Gray level Co-occurrence Matrix) with classification effected by means of an SVM (Support Vector Machine). Classification identifies whether the CT image is normal or cancerous. The Lung Image Database Consortium dataset (LIDC) has been used for training and testing purpose for this study. A Receiver Operating Characteristics (ROC) curve is used to analyze the performance of the system. Overall the system has accuracy of 95.16%, sensitivity of 98.21% and specificity of 78.69%.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI 2017)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3143-3148
Number of pages6
ISBN (Electronic)9781538608142
ISBN (Print)9781538608135, 9781538608159 (Print on demand)
DOIs
Publication statusPublished - 20 Jun 2018
Event2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017 - Saveetha Engineering College , Chennai, India
Duration: 21 Sep 201722 Sep 2017
http://toc.proceedings.com/39832webtoc.pdf (Conference proceedings table of contents)
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8392357 (President's message)

Conference

Conference2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017
Country/TerritoryIndia
CityChennai
Period21/09/1722/09/17
OtherI welcome you to participate in the IEEE based International Conference on Power, Control , Signals and Instrumentation Engineering ICPCSI'17, organized by Department of Electrical and Electronics Engineering, Saveetha Engineering College, which will be a cornerstone of the achievements of this Institute. This Conference is just the beginning of an ongoing initiative where industry and academia can collaborate to develop research and development initiatives.
ICPCSI'17 offers an energetic environment for the exchange of information with emphasis on new developments, services and applications by bringing together Researchers, Scientists, Professionals, Academicians, Corporate & Industry Professionals, Students and Entrepreneurs from various organizations allover the world under one roof. This Conference aims at facilitating the participants to exhibit and exchange their innovative work s on their appropriate topics of interest in Advanced Engineering Research.
Internet address

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