DocumentCode :
679576
Title :
Statistical analysis on polarimetric study of lung cancer cells
Author :
Shrestha, Sanjeeb ; Giakos, George ; Farrahi, Tannaz ; Narayan, Chhaya ; Livanos, George ; Zervakis, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Akron, Akron, OH, USA
fYear :
2013
fDate :
22-23 Oct. 2013
Firstpage :
121
Lastpage :
126
Abstract :
The objective of this study is the discrimination and characterization of different lung cancer monoline cells using statistical analysis of polarimetric backscattered signals. The main aspect of this study is the use of the Welch´s t-test and the p-value statistics as a representative metric for discriminating distributions based on their mean and standard deviation. The outcome of this study indicates that enhanced discrimination of lung cancer samples can be obtained based on their t-test values between different cancer samples for different geometries.
Keywords :
cancer; cellular biophysics; lung; polarimetry; statistical analysis; Welch t-testing; lung cancer monoline cells; p-value statistics; polarimetric backscattered signals; standard deviation; statistical analysis; Cancer; Geometry; Lungs; Optical imaging; Optical polarization; Sociology; Statistics; Welch´s t-test; lung cancer cell differentiation; medical diagnostics; optical polarimetric characterization of lung cancer cells; p-value statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques (IST), 2013 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5790-6
Type :
conf
DOI :
10.1109/IST.2013.6729675
Filename :
6729675
Link To Document :
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