TY - JOUR
T1 - Fluorescently labeled bevacizumab in human breast cancer: defining the classification threshold
AU - Koch, Maximilian
AU - de Jong, Johannes S
AU - Glatz, Jürgen
AU - Symvoulidis, Panagiotis
AU - Lamberts, Laetitia E
AU - Adams, Arthur L. L.
AU - Kranendonk, Mariëtte E G
AU - Terwisscha van Scheltinga, Anton G T
AU - Aichler, Michaela
AU - Jansen, Liesbeth
AU - de Vries, Jakob
AU - Lub-de Hooge, Marjolijn N
AU - Schröder, Carolien P.
AU - Jorritsma-Smit, Annelies
AU - Linssen, Matthijs D
AU - de Boer, Esther
AU - van der Vegt, Bert
AU - Nagengast, Wouter B
AU - Elias, Sjoerd G
AU - Oliveira, Sabrina
AU - Witkamp, Arjen J.
AU - Mali, Willem P Th M
AU - van der Wall, Elsken
AU - Garcia-Allende, Beatriz P
AU - van Diest, Paul J
AU - de Vries, Elisabeth G
AU - Walch, Axel
AU - van Dam, Gooitzen M
AU - Ntziachristos, Vasilis
PY - 2017/7/1
Y1 - 2017/7/1
N2 - In-vivo fluorescently labelled drug (bevacizumab) breast cancer specimen
where obtained from patients. We propose a new structured method to
determine the optimal classification threshold in targeted fluorescence
intra-operative imaging.
AB - In-vivo fluorescently labelled drug (bevacizumab) breast cancer specimen
where obtained from patients. We propose a new structured method to
determine the optimal classification threshold in targeted fluorescence
intra-operative imaging.
U2 - 10.1117/12.2286062
DO - 10.1117/12.2286062
M3 - Article
SN - 0277-786X
VL - 10411
JO - Proceedings of SPIE
JF - Proceedings of SPIE
ER -