@inproceedings{cc1fdf28acd74810a1b8a05894a9d6f0,
title = "Enhancement of cancerous/normal tissue contrast via combined white light and fluorescence image processing: Initial investigation ex vivo",
abstract = "In the current study we try to optimise the cancerous/normal tissue contrast perception using white light and autofluorescence image processing. We deconvolved the RGB channels of both white light and autofluorescence images pixel by pixel and pointed out the best contrast enhancement technique, manipulating each channel seperately. By using false-color mapping according to a particular Look-Up Table, the borders between normal and cancerous area of the tissue are better delineated. Cancer tissue identification was confirmed by the histological examination that followed our investigation.",
keywords = "Autofluorescence, Clinical applications, Endoscopic imaging, Image processing",
author = "Kalitzeos, {Angelos A.} and Azhar Zam and Florian Stelzle and Hahn, {Eckhart G.} and Martin Raithel and Alexandre Douplik",
year = "2009",
language = "English (US)",
isbn = "9780819476432",
series = "Optics InfoBase Conference Papers",
publisher = "Optical Society of America",
booktitle = "European Conference on Biomedical Optics, ECBO 2009",
note = "European Conference on Biomedical Optics, ECBO 2009 ; Conference date: 14-06-2009 Through 18-06-2009",
}