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Volumn , Issue , 2016, Pages 230-234

Texture-based classification for reticular pattern and ground glass opacity in high resolution computed tomography Thorax images

Author keywords

classification; disease; HRCT; lung; reticular

Indexed keywords

BIOLOGICAL ORGANS; BIOMEDICAL ENGINEERING; CLASSIFICATION (OF INFORMATION); COMPUTERIZED TOMOGRAPHY; DECISION TABLES; DECISION TREES; DISEASES; GLASS; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEAREST NEIGHBOR SEARCH; OPACITY; PULMONARY DISEASES; RADIAL BASIS FUNCTION NETWORKS;

EID: 85015626071     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECBES.2016.7843448     Document Type: Conference Paper
Times cited : (8)

References (20)
  • 2
    • 84883170976 scopus 로고    scopus 로고
    • Automated segmentation of pulmonary structures in thoracic computed tomography scans : A review
    • E. M. Van Rikxoort and B. Van Ginneken, "Automated segmentation of pulmonary structures in thoracic computed tomography scans : A review, " Phys. Med. Biol., vol. 187, no. 58(17), p. R187, 2013.
    • (2013) Phys. Med. Biol , vol.187 , Issue.17-58 , pp. R187
    • Van Rikxoort, E.M.1    Van Ginneken, B.2
  • 5
    • 84959318802 scopus 로고    scopus 로고
    • Robustness-driven feature selection in classification of fibrotic interstitial lung disease patterns in computed tomography using 3D texture features
    • D. Chong, H. Kim, P. Lo, S. Young, M. McNitt-Gray, F. Abtin, J. Goldin, and M. Brown, "Robustness-driven feature selection in classification of fibrotic interstitial lung disease patterns in computed tomography using 3D texture features., " IEEE Trans. Med. Imaging, vol. 0062, no. c, pp. 144-157, 2015.
    • (2015) IEEE Trans. Med. Imaging , vol.62 , pp. 144-157
    • Chong, D.1    Kim, H.2    Lo, P.3    Young, S.4    McNitt-Gray, M.5    Abtin, F.6    Goldin, J.7    Brown, M.8
  • 7
  • 8
    • 84907824273 scopus 로고    scopus 로고
    • Springer Science & Business Media
    • A. L. Baert, Encyclopedia of Imaging, vol. 2. Springer Science & Business Media, 2008.
    • (2008) Encyclopedia of Imaging , vol.2
    • Baert, A.L.1
  • 13
    • 84911963176 scopus 로고    scopus 로고
    • Lung segmentation for HRCT thorax images using radon transform and accumulating pixel width
    • J. Chia, M. Than, N. M. Noor, O. M. Rijal, A. Yunus, and R. M. Kassim, "Lung segmentation for HRCT thorax images using radon transform and accumulating pixel width, " in Region 10 Symposium, 2014 IEEE, 2014, pp. 157-161.
    • (2014) Region 10 Symposium 2014 IEEE , pp. 157-161
    • Chia, J.1    Than, M.2    Noor, N.M.3    Rijal, O.M.4    Yunus, A.5    Kassim, R.M.6
  • 16
    • 0032146239 scopus 로고    scopus 로고
    • Artificial neural networks (the multilayer perceptron)-A review of applications in the atmospheric sciences
    • M. W. Gardner and S. R. Dorling, "Artificial neural networks (the multilayer perceptron)-A review of applications in the atmospheric sciences, " Atmos. Environ., vol. 32, no. 14, pp. 2627-2636, 1998.
    • (1998) Atmos. Environ , vol.32 , Issue.14 , pp. 2627-2636
    • Gardner, M.W.1    Dorling, S.R.2
  • 17
    • 0026135904 scopus 로고
    • Radial basis function networks for classifying process faults
    • J. A. Leonard and M. A. Kramer, "Radial basis function networks for classifying process faults, " Control Syst. IEEE, vol. 11, no. 3, pp. 31-38, 1991.
    • (1991) Control Syst IEEE , vol.11 , Issue.3 , pp. 31-38
    • Leonard, J.A.1    Kramer, M.A.2
  • 19
    • 13344278660 scopus 로고    scopus 로고
    • Random forest classifier for remote sensing classification
    • M. Pal, "Random forest classifier for remote sensing classification, " Int. J. Remote Sens., vol. 26, no. 1, pp. 217-222, 2005.
    • (2005) Int. J. Remote Sens , vol.26 , Issue.1 , pp. 217-222
    • Pal, M.1
  • 20
    • 84948977233 scopus 로고
    • The power of decision tables
    • Springer
    • R. Kohavi, "The power of decision tables, " in Machine Learning: ECML-95, Springer, 1995, pp. 174-189.
    • (1995) Machine Learning: ECML-95 , pp. 174-189
    • Kohavi, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.