@inproceedings{4cd3ea87104345a98bcaf6194453ea4f,
title = "Model based quantification of tissue structural properties using optical coherence tomography",
abstract = "Optical Coherence Tomography is an optical imaging technique providing subsurface structural images with a resolution at histological level. It has been widely studied and applied in both research and clinical practice with special interest in cancer diagnosis. One of the major queries today is to represent the images in a standardized way. To this aim the qualitative image recorded on the tissue will be transformed into a quantitative model. The solution provided here is able to diagnose healthy versus cancerous tissue independently from the measurement settings.",
keywords = "Cancer, Imaging, Liposarcoma, Model-based, Optical coherence tomography, Tissue characterization medical diagnostics",
author = "Cec{\'i}lia Lantos and Rafik Borji and St{\'e}phane Douady and Karolos Grigoriadis and Kirill Larin and Franchek, {Matthew A.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 ; Conference date: 03-03-2014 Through 06-03-2014",
year = "2015",
doi = "10.1007/978-3-319-26129-4_8",
language = "English (US)",
isbn = "9783319261287",
series = "Communications in Computer and Information Science",
publisher = "Springer-Verlag",
pages = "113--134",
editor = "Tanja Schultz and Ana Fred and Guy Plantier and Hugo Gamboa",
booktitle = "Biomedical Engineering Systems and Technologies - 7th International Joint Conference, BIOSTEC 2014, Revised Selected Papers",
}