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Lung Cancer Detection using Curvelet Transform and Neural Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 86 - Number 1 |
| Year of Publication: 2014 |
| Authors: Bhawna Gupta, Shamik Tiwari |
10.5120/14949-3082
|
Bhawna Gupta, Shamik Tiwari . Lung Cancer Detection using Curvelet Transform and Neural Network. International Journal of Computer Applications. 86, 1 ( January 2014), 15-17. DOI=10.5120/14949-3082
Abstract
Throughout the world the common cause of death in humans is lung cancer. It is necessary to detect cancer as early as possible to increase the survival rate. Lung cancer in CT scan images can be classified easily and efficiently using digital image processing techniques. Curvelet transform can extract the features of lung cancer CT scan images proficiently. All extracted feature by curvelet transform are applied to the neural network for training and testing. The performance of proposed work show efficient results.
References
- Devaki, K. , MuraliBhaskaran V. ," Study of computed tomography images of the lungs: A survey" in "Recent Trends in Information Technology (ICRTIT) 2011 International Conference", ©IEEE, doi: 10. 1109/ICRTIT. 2011. 5972308
- Patil, S. A. Udupi, V. R. ; Kane, C. D. ;Wasif, A. I. ; Desai, J. V. ; Jadhav, A. N. ," Geometrical and texture features estimation of lung cancer and TB images using chest X-ray database "in" Biomedical and Pharmaceutical Engineering, 2009. ICBPE' 09. International Conference"©IEEE,doi:10. 1109/ICBPE. 2009. 5384113
- Yang Yu, Hong Zhao," A Texture-based Morphologic Enhancement Filter in Two-dimensional Thoracic CT scans" in" Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference" ©IEEE, doi: 10. 1109/ICNSC. 2006. 1673258
- Takemura, S. , Xianhua Han; Yen-wei Chen; Ito, K. ; Nishikwa, I. ; Ito, M. " Enhancement and detection of lung nodules with Multiscale filters in CT images " in" Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference", ©IEEE,doi:10. 1109/IIHMSP. 2008. 30
- E. J. Candes, D. L. Donoho, Curvelets, multi-resolution representation, and scaling laws, Wavelet Applications in Signal and Image Processing VIII, vol. 4119-01, SPIE, 2000
- Guesmi, H. ; Trichili, H. ; Alimi, A. M. ; Solaiman, B. , "Curvelet transform-based features extraction for fingerprint identification" in " Biometrics Special Interest Group (BIOSIG), 2012 BIOSIG - Proceedings of the International Conference" ©IEEE
- Sumana, I. J. ; Islam, M. M. ; Dengsheng Zhang ; Guojun Lu, "Content based image retrieval using curvelet transform" in" Multimedia Signal Processing, 2008 IEEE 10th Workshop" ©IEEE, doi: 10. 1109/MMSP. 2008. 4665041
- Haykin, Simon. Neural networks: a comprehensive foundation. Prentice Hall PTR, 1994.
- Ashwin, S. , Kumar, S. A. , Ramesh, J. , Gunavathi, K. , "Efficient and reliable lung nodule detection using a neural network based computer aided diagnosis system", in "Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012 International Conference", ©IEEE, doi: 10. 1109/ICETEEEM. 2012. 6494454.
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