Lung nodule detection using fuzzy clustering and support vector machines

International Journal of Engineering and Technology

Volumn 5, Issue 1, 2013, Pages 179-185

  Sivakumar, S ^a   Chandrasekar, C ^a  

^a PERIYAR UNIVERSITY   (India)

Author keywords

Classification; FCM; Image segmentation; Lung cancer; Support Vector Machines; WPFCM

Indexed keywords

EID: 84875344471     PISSN: None     EISSN: 09754024     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. C. Society, Cancer Facts and Figures 2001. Atlanta, GA: American Cancer Society, 2001.
2. J. Woodring.: "Pitfalls in the radiologic diagnosis of lung cancer," AJR, 1990, p.1165-1175.
3. J. Muhm, W. Miller, R. Fontana, D. Sanderson, and M. Uhlenhopp.: "Lung cancer detected during a screening program using four-month chest radiographs," Radiology, 1983, vol. 148, p.609-615,.
4. N. Hayabuchi, W. Russel, J. Murakami, and H. Nishitani.: "Screening for lung cancer in a fixed population by biennial chest radiography," Radiology, 1983, vol. 148, p.369-373,.
5. Van Ginneken, B. M. ter Haar Romeny, and M. Viergever.: "Computer-aided diagnosis in chest radiography: Asurvey," IEEE Trans. Med. Imag., 2001, vol. 20, p.1228-1241.
6. T. Kobayashi, X.-W. Xu, H. MacMahon, C. Metz, and K. Doi.: "Effect of a computer-aided diagnosis scheme on radiologists's performance in detection of lung nodules on radiographs," Radiology, 1996, vol. 199, p.843-848.
7. J.H. Austin, N.L. Mueller, P.J. Friedman, et al., "Glossary of terms for CT of the lungs: recommendation of the Nomenclature Committee of the Fleischner Society", Radiology 1996, vol. 200,p.327-331
8. http://wwwnlhep.org
9. Aristofanes C. Cilva, Paulo Cezar, Marcello Gattas, "Diagnosis of Lung Nodule using Gini Coefficient and skeletonization in computerized Tomography images", ACM symposium on Applied Computing March 2004.
10. Ayman El-Baz, Aly A. Farag, Robert Falk, Renato La Rocca, "Detection,Visualization and identification of Lung Abnormalities in Chest Spiral CT Scan:Phase-I", International Conference on Biomedical Engineering,Cairo, Egypt, 12-01-2002
11. N. A. Memon, A. M. Mirza, S.A.M. Gilani, "Segmentation of Lungs from CT Scan Imges for Early Diagnosis of Lung Cancer", Proceedings of World Academy of Science, Engineering and Technology, aug 2006 ,vol 14.
12. Weiling Cai, Songcan Chen, Daoqiang Zhang, "Fast and Robust Fuzzy C-Means clustering algorithms incorporating local information for image segmentation", Pattern Recognition, 2007.
13. Alga singla and Rajesh Mahra, "Design and analysis of Fuzzy Clustering algorithm for data partitioning applications", IJVSPA, Volume 1(2), pp.52-56, May 2006.
14. N.R.Pal, and J.C.Bezdek, "A mixed c-means clustering model", In IEEE Int.Conf.Fuzzy Systems, Spain, 1997, p.11-21.
15. J.C.Bezdek, "Pattern Recognition with Fuzzy Objective Function Algorithms", Plenum Press, 1981.
16. Rezaul.K.Begg, Marimuthu Palaniswami and Brendan Owen (2005), Support Vector Machines for Automated Gait Classification", IEEE Transactions on Biomedical Engineering, Vol.52, No.5.
17. S.Sivakumar and C.Chandrasekar, "Lung Nodule Segmentation through Unsupervised Clustering Models", Procedia Engineering , vol.38,p. 3064-3073.