Medical Image Analysis
Volume 14, Issue 3 , Pages 390-406, June 2010

A new computationally efficient CAD system for pulmonary nodule detection in CT imagery

  • Temesguen Messay

      Affiliations

    • Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469-0232, United States
    • Corresponding Author InformationCorresponding author. Tel.: +1 937 229 3611; fax: +1 937 229 4529.
    • ,
  • Russell C. Hardie

      Affiliations

    • Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469-0232, United States
    • ,
  • Steven K. Rogers

      Affiliations

    • Air Force Research Laboratory, AFRL/RY Wright Patterson AFB, OH 45433, United States

Received 7 November 2008; received in revised form 1 February 2010; accepted 3 February 2010. published online 22 February 2010.

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PII: S1361-8415(10)00019-8

doi:10.1016/j.media.2010.02.004

Medical Image Analysis
Volume 14, Issue 3 , Pages 390-406, June 2010

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