Monte Carlo Modeling of Near-infrared Fluorescence Photon Migration in Breast Tissue for Tumor Prediction
Author:
Affiliation:
1. Department of Systems Life Engineering, Maebashi Institute of Technology
2. Laboratory for Nano-Bio Probes, RIKEN Center for Biosystems Dynamics Research
Publisher
Japanese Society for Medical and Biological Engineering
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering,Biomaterials,Biotechnology
Link
https://www.jstage.jst.go.jp/article/abe/9/0/9_9_100/_pdf
Reference27 articles.
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3. 3. Kitai T, Inomoto T, Miwa M, Shikayama T: Fluorescence navigation with indocyanine green for detecting sentinel lymph nodes in breast cancer. Breast Cancer. 12, 211–215, 2005.
4. 4. Sugie T, Sawada T, Tagaya N, Kinoshita T, et al.: Comparison of the indocyanine green fluorescence and blue dye methods in detection of sentinel lymph nodes in early-stage breast cancer. Ann Surg. 20, 2213–2218, 2013.
5. 5. Nomura Y, Hazeki O, Tamura M: Relationship between time-resolved and non-time-resolved Beer-Lambert law in turbid media. Phys Med Biol. 42, 1009–1022, 1997.
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