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
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;
Conference_Titel :
Imaging Systems and Techniques (IST), 2013 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5790-6
DOI :
10.1109/IST.2013.6729675