TY - JOUR
T1 - Selection of hyperspectral endmember extraction algorithm for tumor delineation in animal models
AU - Mishra, Deependra
AU - Wang, John
AU - Wang, Steven T.
AU - Cao, Qian
AU - Hurbon, Helena
AU - Akers, Walter
AU - Berezin, Mikhail Y.
N1 - Funding Information:
The team would like to acknowledge funding from NSF 1827656 (MB) Mallinckrodt Institute of Radiology at Washington University (HH).
Publisher Copyright:
© 2021 The Author (s).
PY - 2021
Y1 - 2021
N2 - Advanced algorithms used in geospatial imaging were adopted for biomedical application to analyze hyperspectral datasets. To demonstrate the effectiveness, endmember extractions method was applied for delineating tumors in animal models of cancer.
AB - Advanced algorithms used in geospatial imaging were adopted for biomedical application to analyze hyperspectral datasets. To demonstrate the effectiveness, endmember extractions method was applied for delineating tumors in animal models of cancer.
UR - http://www.scopus.com/inward/record.url?scp=85120547427&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120547427&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85120547427
SN - 2162-2701
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
M1 - OF2E.2
T2 - Optical Molecular Probes, Imaging and Drug Delivery, OMP 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021
Y2 - 12 April 2021 through 16 April 2021
ER -