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Volumn , Issue , 2016, Pages 1-15

A novel three-dimensional framework for automatic lung segmentation from low-dose computed tomography images

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY;

EID: 84874586435     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (3)

References (12)
  • 3
    • 0035354205 scopus 로고    scopus 로고
    • Automatic lung segmentation for accurate quantitation of volumetric x-ray CT images
    • Hu, S., E. A. Hoffman, and J. Reinhardt. 2001. Automatic lung segmentation for accurate quantitation of volumetric x-ray CT images. IEEE Transactions on Medical Imaging, 20(6):490-498.
    • (2001) IEEE Transactions on Medical Imaging , vol.20 , Issue.6 , pp. 490-498
    • Hu, S.1    Hoffman, E.A.2    Reinhardt, J.3
  • 10
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures. Journal of the Royal Statistical Society
    • Besag, J.E. 1986. On the statistical analysis of dirty pictures. Journal of the Royal Statistical Society. Series B, Statistical Methodology, B48:259-302.
    • (1986) Series B, Statistical Methodology , vol.B48 , pp. 259-302
    • Besag, J.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.