Low-order statistical analysis of 1-D diffuse reflectance signals from cancer cells using 2-D scalogram imagesLow-order statistical analysis of 1-D diffuse reflectance signals from cancer cells using 2-D scalogram images Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2018-06-282016enThe novelty of this study is seen in the efficient characterization of cancer cells through representation of 1-D backscattered signals from cancer cells using statistical analysis on 2-D scalogram images. The proposed approach allows one to obtain a rapid and accurate visualization of the frequency components associated with the backscattered signals; while enlightening the understanding and the physics of the diffuse reflectance light waves interactions with the lung cells, by performing texture characterization and pattern recognition analysis directly on the scalograms.http://creativecommons.org/licenses/by/4.0/171-176IEEE International Conference on Imaging Systems and TechniquesIST 2016 - 2016 IEEE International Conference on Imaging Systems and Techniques, Proceedings Rodriguez Rafael Shrestha Suman Pascone Romeo J. Lynch Kevin Voudouri Evi Livanos Georgios Λιβανος Γεωργιος Zervakis Michail Ζερβακης Μιχαηλ Deshpande Aditi Narayan Chaya Na Ying Giakos George C. Institute of Electrical and Electronics Engineers Classifiers Lung cancer cells Pattern recognition Polarimetry Scalogram Wavelet analysis