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<title>Computer-assisted image processing for lung cancer localization</title>

Authors: Qirong Lin; Yongsen Li; Shusen Xie; Kezhong Lai; Wei Zheng;

<title>Computer-assisted image processing for lung cancer localization</title>

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.© (1996) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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