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Proceedings Paper

Artificial neural networks analysis of laser-induced fluorescence spectra for characterization of peripheral vascular tissue
Author(s): George Filippidis; Giannis Zacharakis; A. Katsamouris; G. A. Rovithakis; M. Maniadakis; M. Zervakis; Theodore G. Papazoglou
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Paper Abstract

This study concerns the identification of the state of human peripheral vascular tissue by using Artificial Neural Networks. The fluorescence spectra, obtained by dual wavelength excitation of the tissue samples, were passed through a non-linear filter, based on a High Order Neural Network (HONN). Then a classical Multi-Layer Perceptron was employed to serve as the classifier of the feature vector. The above process resulted in the successful discrimination between normal and different types of pathological tissue.

Paper Details

Date Published: 19 January 2001
PDF: 10 pages
Proc. SPIE 4158, Biomonitoring and Endoscopy Technologies, (19 January 2001); doi: 10.1117/12.413797
Show Author Affiliations
George Filippidis, Institute of Electronic Structure and Laser/FORTH (Greece)
Giannis Zacharakis, Institute of Electronic Structure and Laser/FORTH (Greece)
A. Katsamouris, Univ. of Crete Medical School (Greece)
G. A. Rovithakis, Technical Univ. of Crete (Greece)
M. Maniadakis, Technical Univ. of Crete (Greece)
M. Zervakis, Technical Univ. of Crete (Greece)
Theodore G. Papazoglou, Institute of Electronic Structure and Laser/FORTH (Greece)

Published in SPIE Proceedings Vol. 4158:
Biomonitoring and Endoscopy Technologies
Israel Gannot; Yuri V. Gulyaev; Theodore G. Papazoglou; Christiaan F. P. van Swol, Editor(s)

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