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Proceedings Paper

Computer-assisted image processing for lung cancer localization
Author(s): Shusen Xie; Wei Zheng; Yongsen Li; Kezhong Lai; Qirong Lin
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Paper Abstract

Autofluorescence of the tumor and surrounding tissue is the largest background source in fluorescence diagnosis. A new system which applied computer image processing technique to lung cancer localization by laser fluorescence bronchoscopy has been developed to subtract the autofluorescence background. The results of our trial tests in tissue- simulating phantom and the porcine thigh muscle models are satisfied. There is great hope that this computer-assisted image processing system will significantly enhance the contrast of fluorescence image and drop false results for early human lung cancer examination.

Paper Details

Date Published: 23 September 1996
PDF: 6 pages
Proc. SPIE 2887, Lasers in Medicine and Dentistry: Diagnostics and Treatment, (23 September 1996); doi: 10.1117/12.251940
Show Author Affiliations
Shusen Xie, Fujian Normal Univ. (China)
Wei Zheng, Fujian Normal Univ. (United States)
Yongsen Li, Fujian Normal Univ. (China)
Kezhong Lai, Fujian Normal Univ. (China)
Qirong Lin, Fujian Normal Univ. (China)

Published in SPIE Proceedings Vol. 2887:
Lasers in Medicine and Dentistry: Diagnostics and Treatment
Brij M. Khorana; Junheng Li M.D.; Michail M. Pankratov, Editor(s)

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