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Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Novel Image Markers For Non-Small Cell Lung Cancer Classification And Survival Prediction, Hongyuan Wang, Fuyong Xing, Hai Su, Arnold J. Stromberg, Lin Yang
Novel Image Markers For Non-Small Cell Lung Cancer Classification And Survival Prediction, Hongyuan Wang, Fuyong Xing, Hai Su, Arnold J. Stromberg, Lin Yang
Statistics Faculty Publications
BACKGROUND: Non-small cell lung cancer (NSCLC), the most common type of lung cancer, is one of serious diseases causing death for both men and women. Computer-aided diagnosis and survival prediction of NSCLC, is of great importance in providing assistance to diagnosis and personalize therapy planning for lung cancer patients.
RESULTS: In this paper we have proposed an integrated framework for NSCLC computer-aided diagnosis and survival analysis using novel image markers. The entire biomedical imaging informatics framework consists of cell detection, segmentation, classification, discovery of image markers, and survival analysis. A robust seed detection-guided cell segmentation algorithm is proposed to accurately …
Mixtures Of Self-Modelling Regressions, Rhonda D. Szczesniak, Kert Viele, Robin L. Cooper
Mixtures Of Self-Modelling Regressions, Rhonda D. Szczesniak, Kert Viele, Robin L. Cooper
Statistics Faculty Publications
A shape invariant model for functions f1,...,fn specifies that each individual function fi can be related to a common shape function g through the relation fi(x) = aig(cix + di) + bi. We consider a flexible mixture model that allows multiple shape functions g1,...,gK, where each fi is a shape invariant transformation of one of those gK. We derive an MCMC algorithm for fitting the model using Bayesian Adaptive Regression Splines (BARS), propose …