Bioinformatics of Lung Cancer
GC Giakos, S Marotta, S Shrestha… - … on Imaging Systems …, 2015 - ieeexplore.ieee.org
The objective of this study is to explore novel bioinformatics techniques, namely, the
Polarimetric Exploratory Data Analysis (pEDA), for early identification and discrimination of …
Polarimetric Exploratory Data Analysis (pEDA), for early identification and discrimination of …
Multiresolution bioinspired cross-polarized imaging and biostatistics of lung cancer tissue samples
G Bauman, S Shrestha, K Mallinson… - … on Imaging Systems …, 2017 - ieeexplore.ieee.org
The novelty of this study consists in the development of a technique for efficient
discrimination of lung tissues pathologies consisting of squamous carcinomas, at varying …
discrimination of lung tissues pathologies consisting of squamous carcinomas, at varying …
Lung cancer pathology discrimination techniques using time series analysis
The goal of this study is to discover, analyze, compare, and interpret diffused reflectance
polarimetric signatures from lung cancer cells through time series analysis techniques, by …
polarimetric signatures from lung cancer cells through time series analysis techniques, by …
Infrared photon discrimination of lung cancer cells
The objective of this study is to explore the polarimetric phenomenology of near infrared light
interaction with healthy and lung cancer monolayer cells by using efficient polarimetric …
interaction with healthy and lung cancer monolayer cells by using efficient polarimetric …
Polarimetric exploratory data analysis (pEDA) using dual rotating retarder polarimetry for in vitro detection of early stage lung cancer
S Marotta - 2011 - rave.ohiolink.edu
Abstract According to the National Cancer Institute, in 2010 there were approximately
222,520 new cases of lung cancer and 157,300 deaths. Of the two main types of lung …
222,520 new cases of lung cancer and 157,300 deaths. Of the two main types of lung …
Statistical analysis on polarimetric study of lung cancer cells
S Shrestha, G Giakos, T Farrahi… - … on Imaging Systems …, 2013 - ieeexplore.ieee.org
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 …
monoline cells using statistical analysis of polarimetric backscattered signals. The main …
Near infrared light interaction with lung cancer cells
GC Giakos, S Marotta, C Narayan… - 2011 IEEE …, 2011 - ieeexplore.ieee.org
The objective of this study is to explore the phenomenology of near infrared (NIR) light
interaction with healthy and early-lung cancer by combining efficient polarimetric …
interaction with healthy and early-lung cancer by combining efficient polarimetric …
Label-free discrimination of lung cancer cells through mueller matrix decomposition of diffuse reflectance imaging
S Shrestha, A Deshpande, T Farrahi, T Cambria… - … Signal Processing and …, 2018 - Elsevier
In this article, we explore the potential of an original label-free Near-Infrared (NIR) imaging
technique, based on Mueller Matrix decomposition reflectance, for efficient detection and …
technique, based on Mueller Matrix decomposition reflectance, for efficient detection and …
High resolution polarimetric imaging techniques for space and medical applications
S Shrestha - 2013 - rave.ohiolink.edu
In the year 2012, there were approximately 226,160 cases of lung cancer and 160,340
deaths out of it as per the National Cancer Institute. There are mainly two types of lung …
deaths out of it as per the National Cancer Institute. There are mainly two types of lung …
Integrated quantitative fractal polarimetric analysis of monolayer lung cancer cells
Digital diagnostic pathology has become one of the most valuable and convenient
advancements in technology over the past years. It allows us to acquire, store and analyze …
advancements in technology over the past years. It allows us to acquire, store and analyze …