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