Diagnosis of breast cancer using diffuse reflectance spectroscopy: Comparison of a Monte Carlo versus partial least squares analysis based feature extraction technique

2006 ◽  
Vol 38 (7) ◽  
pp. 714-724 ◽  
Author(s):  
Changfang Zhu ◽  
Gregory M. Palmer ◽  
Tara M. Breslin ◽  
Josephine Harter ◽  
Nirmala Ramanujam
Keyword(s):  
Breast Cancer ◽  
Monte Carlo ◽  
Feature Extraction ◽  
Least Squares ◽  
Partial Least Squares ◽  
Diffuse Reflectance ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Partial Least Squares Analysis ◽  
Feature Extraction Technique

Pedotransfer functions to mapping total and adsorbed phosphate using Vis-NIR (DRS)

2020 ◽  
Author(s):  
José Marques Júnior ◽  
Romário Pimenta Gomes ◽  
Luis Fernando Vieira da Silva ◽  
João de Deus Ferreira Silva ◽  
Laércio Santos Silva
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Iron Oxides ◽  
Diffuse Reflectance ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Pedotransfer Functions ◽  
Environmental Damage ◽  
Least Squares Regression ◽  
Phosphorus Adsorption

<p><strong>Pedotransfer functions to mapping total and adsorbed phosphate using Vis-NIR (DRS) </strong></p><p>José Marques Júnior<sup> a</sup>, Romário Pimenta Gomes<sup> a</sup>, Luis Fernando Vieira da Silva<sup> a</sup>, João de Deus Ferreira e Silva<sup> a</sup> & Laércio Santos Silva<sup> a</sup></p><p>Department of Soils and Fertilizers, Research Group CSME - Soil Characterization for Specific Management, State University of São Paulo (UNESP), Via de Acesso Prof. Paulo Donato Castellane s/n, 14883-292 Jaboticabal, São Paulo, Brazil</p><p> </p><p>Soil oxides-Fe can be an excellent predictor of spatial variability of total and adsorbed P, contributing to rapid mapping, low cost and differentiation of minimum areas of phosphate fertilizer management. In the Western Paulista Plateau (Brazil) were collected 300 soil samples representing the lithological (sandstone and basalt) and geomorphic variability (less, moderately and highly dissected), at a depth of 0.0 – 0.2 m. The total (P<sub>total</sub>) and adsorbed phosphorus (P<sub>ads</sub>) determined by conventional methods and hematite and goethite by X-ray diffraction (XRD). By partial least squares regression (PLS) and chemometric calibration, internal validation and external calibration, the Ptotal and Pads were estimated by diffuse reflectance spectroscopy (Vis-NIR-DRS), using hematite (Hm) and goethite (Gt) as a predictor. Then, the spatial pattern was obtained by geostatitic analysis. Phosphorus ware influenced by geology and dissection of the landscape and is a covariate of Hm and Gt, important indicators of environments with high or low P adsorption and content potential. Partial least squares (PLS) regression analysis of the spectral data demonstrated the influence of iron oxides on P<sub>total</sub> and P<sub>ads</sub>, whereby Hm affects the former and Gt the latter. The lower maximum phosphorus adsorption capacity indicates the scarcity of P minerals and Fe oxides from sandstone sediments, with severe risk of phosphate loss and environmental damage. Significant correlation between P<sub>total</sub> and Hm and P<sub>ads </sub>and Gt in Vis-NIR-DRS indicates the potential of this study in mapping large areas based on iron oxides, which can be used to develop soil P inventories as well as monitor and estimate the future impacts of land use, considering the complex relations between soil and landscape.</p><p><strong>Keywords:</strong> Diffuse reflectance spectroscopy, goethite, hematite, geostatistics.</p>

scholarly journals Diagnosis of breast cancer using fluorescence and diffuse reflectance spectroscopy: a Monte-Carlo-model-based approach

2008 ◽  
Vol 13 (3) ◽  
pp. 034015 ◽  
Author(s):  
Changfang Zhu ◽  
Gregory M. Palmer ◽  
Tara M. Breslin ◽  
Josephine Harter ◽  
Nirmala Ramanujam
Keyword(s):  
Breast Cancer ◽  
Monte Carlo ◽  
Diffuse Reflectance ◽  
Diffuse Reflectance Spectroscopy ◽  
Monte Carlo Model ◽  
Reflectance Spectroscopy ◽  
Model Based

DIFFUSE REFLECTANCE SPECTROSCOPY MONTE-CARLO MODELING: ELONGATED ARTERIAL TISSUES OPTICAL PROPERTIES

2006 ◽  
Vol 39 (18) ◽  
pp. 41-46
Author(s):  
Emilie Péry ◽  
Walter C.P.M. Blondel ◽  
Cédric Thomas ◽  
Jacques Didelon ◽  
François Guillemin
Keyword(s):  
Monte Carlo ◽  
Optical Properties ◽  
Diffuse Reflectance ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Monte Carlo Modeling

Comparison of multiexcitation fluorescence and diffuse reflectance spectroscopy for the diagnosis of breast cancer (march 2003)

2003 ◽  
Vol 50 (11) ◽  
pp. 1233-1242 ◽  
Author(s):  
G.M. Palmer ◽  
Changfang Zhu ◽  
T.M. Breslin ◽  
Fushen Xu ◽  
K.W. Gilchrist ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Diffuse Reflectance ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy

82. Margin assessment in breast cancer lumpectomy specimens with infra-red diffuse reflectance spectroscopy (DRS)

2014 ◽  
Vol 40 (11) ◽  
pp. S40
Author(s):  
L.L. De Boer ◽  
B.G. Molenkamp ◽  
J. Wesseling ◽  
B.H.W. Hendriks ◽  
T.M. Bydlon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Diffuse Reflectance ◽  
Diffuse Reflectance Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Margin Assessment ◽  
Infra Red
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