A custom multi-pixel photodetector probe and partial least squares regression for the efficient identification of optical tissue properties
Publication
, Conference
Woods, CM; Senlik, O; Jokerst, NM
Published in: Optics InfoBase Conference Papers
January 1, 2018
Diffuse reflectance spectroscopy performed using a custom photodetector array combined with partial least squares regression increases the accuracy of optical tissue property extraction. Prediction accuracies of 4.15% (us), 9.02% (ua) are reported.
Duke Scholars
Published In
Optics InfoBase Conference Papers
DOI
EISSN
2162-2701
Publication Date
January 1, 2018
Volume
Part F114-FIO 2018
Citation
APA
Chicago
ICMJE
MLA
NLM
Woods, C. M., Senlik, O., & Jokerst, N. M. (2018). A custom multi-pixel photodetector probe and partial least squares regression for the efficient identification of optical tissue properties. In Optics InfoBase Conference Papers (Vol. Part F114-FIO 2018). https://doi.org/10.1364/FIO.2018.JW4A.113
Woods, C. M., O. Senlik, and N. M. Jokerst. “A custom multi-pixel photodetector probe and partial least squares regression for the efficient identification of optical tissue properties.” In Optics InfoBase Conference Papers, Vol. Part F114-FIO 2018, 2018. https://doi.org/10.1364/FIO.2018.JW4A.113.
Woods CM, Senlik O, Jokerst NM. A custom multi-pixel photodetector probe and partial least squares regression for the efficient identification of optical tissue properties. In: Optics InfoBase Conference Papers. 2018.
Woods, C. M., et al. “A custom multi-pixel photodetector probe and partial least squares regression for the efficient identification of optical tissue properties.” Optics InfoBase Conference Papers, vol. Part F114-FIO 2018, 2018. Scopus, doi:10.1364/FIO.2018.JW4A.113.
Woods CM, Senlik O, Jokerst NM. A custom multi-pixel photodetector probe and partial least squares regression for the efficient identification of optical tissue properties. Optics InfoBase Conference Papers. 2018.
Published In
Optics InfoBase Conference Papers
DOI
EISSN
2162-2701
Publication Date
January 1, 2018
Volume
Part F114-FIO 2018