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Volumn 2006, Issue , 2006, Pages 506-509

A hybrid approach for automated detection of lung nodules in CT images

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTERIZED TOMOGRAPHY; IMAGE ANALYSIS; IMAGE QUALITY; MEDICAL IMAGING; OPTIMIZATION;

EID: 33750935293     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 2
    • 0034845242 scopus 로고    scopus 로고
    • Automated detection of lung nodules in CT scans: Preliminary results
    • S. G. Armato, M. L. Giger and H. MacMahon, "Automated detection of lung nodules in CT scans: Preliminary results", Medical Physics, vol.28, pp.1552-1561, 2001.
    • (2001) Medical Physics , vol.28 , pp. 1552-1561
    • Armato, S.G.1    Giger, M.L.2    MacMahon, H.3
  • 3
    • 85034050905 scopus 로고    scopus 로고
    • Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm
    • B. Zhao, G. Gamsu, M. S Ginsberg, L. Jiang, et al. "Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm", Journal of Applied Clinical Medical Physics, vol.4, no.3, 2003.
    • (2003) Journal of Applied Clinical Medical Physics , vol.4 , Issue.3
    • Zhao, B.1    Gamsu, G.2    Ginsberg, M.S.3    Jiang, L.4
  • 4
    • 0035384869 scopus 로고    scopus 로고
    • Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique
    • Y. Lee, T. Hara, H. Fujita, et al. "Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique", IEEE Transactions on Medical Imaging, vol.20, pp.595-604, 2001.
    • (2001) IEEE Transactions on Medical Imaging , vol.20 , pp. 595-604
    • Lee, Y.1    Hara, T.2    Fujita, H.3
  • 5
    • 23944435413 scopus 로고    scopus 로고
    • Computer-aided detection of lung nodules: False positive reduction using a 3D gradient field method and 3D ellipsoid fitting
    • Z.Y. Ge, B. Sahiner, H. P. Chan, et al. "Computer-aided detection of lung nodules: False positive reduction using a 3D gradient field method and 3D ellipsoid fitting", Medical Physics, vol.32, pp.2443, 2005.
    • (2005) Medical Physics , vol.32 , pp. 2443
    • Ge, Z.Y.1    Sahiner, B.2    Chan, H.P.3
  • 6
    • 0035544610 scopus 로고    scopus 로고
    • Patient-specific models for lung nodule detection and surveillance in CT images
    • M. S. Brown, M. F. McNitt-Cray, J. G. Golldin, et al. "Patient-Specific Models for Lung Nodule Detection and Surveillance in CT Images", IEEE Trans. Medical Imaging, vol.20, no.12, pp.1242-1250, 2001.
    • (2001) IEEE Trans. Medical Imaging , vol.20 , Issue.12 , pp. 1242-1250
    • Brown, M.S.1    McNitt-Cray, M.F.2    Golldin, J.G.3
  • 7
    • 21244441129 scopus 로고    scopus 로고
    • Computer-aided detection of lung nodule on chest CT: Issues to be solved before clinical use
    • J. M. Goo, "Computer-Aided Detection of Lung Nodule on Chest CT: Issues to be Solved before Clinical Use", Journal of Radiology, vol.6, pp. 62-63, 2005.
    • (2005) Journal of Radiology , vol.6 , pp. 62-63
    • Goo, J.M.1
  • 9
    • 33750962775 scopus 로고    scopus 로고
    • http://www.qrm.de
  • 11
    • 0345097410 scopus 로고    scopus 로고
    • Shape based region growing using derivatives of 3D medical images: Application to semi-automated detection of nodules
    • J. Dehmeshki, X. Ye, J. Costello, "Shape based region growing using derivatives of 3D medical images: application to semi-automated detection of nodules", ICIP, pp.1085-1088, 2003.
    • (2003) ICIP , pp. 1085-1088
    • Dehmeshki, J.1    Ye, X.2    Costello, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.