International Journal of Soft Computing
Year:
2015
Volume:
10
Issue:
1
Page No.
25 - 36
References
Boser, B.E., I.M. Guyon and V.N. Vapnik, 1992. A training algorithm for optimal margin classifiers. Proceedings of the 5th Annual Workshop on Computational Learning Theory, July 27-29, 1992, Pittsburgh, Pennsylvania, USA., pp: 144-152.
Darmanayagam, S.E., K.N. Harichandran, S.R.R. Cyril and K. Arputharaj, 2013. A novel supervised approach for segmentation of lung parenchyma from chest CT for computer-aided diagnosis. J. Digital Imaging, 26: 496-509.
CrossRef | Dempster, A.P., N.M. Laird and D.B. Rubin, 1977. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B (Methodol.), 39: 1-38.
Direct Link | Depeursinge, A., D. Van de Ville, A. Platon, A. Geissbuhler, P.A. Poletti and H. Muller, 2012. Near-affine-invariant texture learning for lung tissue analysis using isotropic wavelet frames. IEEE Trans. Inform. Technol. Biomed., 16: 665-675.
CrossRef | Doi, K., 2007. Computer-aided diagnosis in medical imaging: Historical review, current status and future potential. Comput. Med. Imaging Graphics, 31: 198-211.
CrossRef | Eberhart, R.C. and Y. Shi, 2001. Particle swarm optimization: Developments, applications and resources. Proceedings of the Congress on Evolutionary Computation, Volume 1, May 27-30, 2001, Seoul, South Korea, pp: 81-86.
Elizabeth, D.S., H.K. Nehemiah, R. Raj and A. Kannan, 2012. Computer-aided diagnosis of lung cancer based on analysis of the significant slice of chest computed tomography image. IET Image Process., 6: 697-705.
CrossRef | Horwood, A.C., S.J. Hogan, P.R. Goddard, J. Rossiter, S.H. Ma and P.G. Bsc, 2001. Image normalization, a basic requirement for computer-based automatic diagnostic applications. http://facweb.cs.depaul.edu/research/vc/seminar/Paper/Feb22_2008Emili_ImageNormalization.pdf.
Hu, S., E.A. Hoffman and J.M. Reinhardt, 2001. Automatic lung segmentation for accurate quantization of volumetric X-ray CT images. IEEE Trans. Med. Imaging, 20: 490-498.
CrossRef | Kennedy, J. and R. Eberhart, 1995. Particle swarm optimization. Proceedings of the International Conference on Neural Networks, Volume 4, November 27-December 1, 1995, Perth, WA., USA., pp: 1942-1948.
Korfiatis, P.D., A.N. Karahaliou, A.D. Kazantzi, C. Kalogeropoulou and L.I. Costaridou, 2010. Texture-based identification and characterization of interstitial pneumonia patterns in lung multidetector CT. IEEE Trans. Inform. Technol. Biomed., 14: 675-680.
CrossRef | Lee, Y., J.B. Seo, J.G. Lee, S.S. Kim, N. Kim and S.H. Kang, 2009. Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT). Comput. Methods Programs Biomed., 93: 206-215.
CrossRef | Park, D.K., Y.S. Jeon and C.S. Won, 2000. Efficient use of local edge histogram descriptor. Proceedings of the ACM Workshops on Multimedia, October 30-November 3, 2000, Los Angeles, CA., USA., pp: 51-54.
Raghu, G. and K.K. Brown, 2004. Interstitial lung disease: Clinical evaluation and keys to an accurate diagnosis. Clin. Chest Med., 25: 409-419.
CrossRef | PubMed | Ryu, J.H., C.E. Daniels, T.E. Hartman and E.S. Yi, 2007. Diagnosis of interstitial lung diseases. Mayo Clin. Proceed., 82: 976-986.
CrossRef | Stoitsis, J., I. Valavanis, S.G. Mougiakakou, S. Golemati, A. Nikita and K.S. Nikita, 2006. Computer aided diagnosis based on medical image processing and artificial intelligence methods. Nucl. Instrum. Methods Phys. Res. A, 569: 591-595.
CrossRef |