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23 September 1996 Computer-assisted image processing for lung cancer localization
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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 Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shusen Xie, Wei Zheng, Yongsen Li, Kezhong Lai, and Qirong Lin "Computer-assisted image processing for lung cancer localization", Proc. SPIE 2887, Lasers in Medicine and Dentistry: Diagnostics and Treatment, (23 September 1996); https://doi.org/10.1117/12.251940
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