@inproceedings{f35d82cb67514abd8577517981bdce2e,
title = "Human breast cancer identification by K-space analysis of optical coherence tomography images",
abstract = "Tomographic coherent imaging of mammary lesions has been demonstrated as an effective means by which to identify boundaries between healthy and diseased tissue. While these results are encouraging, recent efforts toward the use of optical coherence technology (OCT) in surgical breast procedures may be hampered by a lack of automated assessment tools for use by clinicians. We will present k-space analysis techniques for the computational identification of human breast carcinomas in optical coherence tomography images.",
author = "Zysk, {Adam M.} and Boppart, {Stephen A.}",
year = "2006",
doi = "10.1364/bio.2006.sh14",
language = "English (US)",
isbn = "1557528071",
series = "Optics InfoBase Conference Papers",
publisher = "Optical Society of America (OSA)",
booktitle = "Biomedical Topical Meeting, BIO 2006",
note = "Biomedical Topical Meeting, BIO 2006 ; Conference date: 19-03-2006 Through 19-03-2006",
}