Development of a fully cross-validated Bayesian network approach for local control prediction in lung cancer
The purpose of this paper is to demonstrate that a Bayesian network (BN) approach can
explore hierarchical biophysical relationships that influence tumor response and predict …
explore hierarchical biophysical relationships that influence tumor response and predict …
[HTML][HTML] Development of a Fully Cross-Validated Bayesian Network Approach for Local Control Prediction in Lung Cancer
Y Luo, D McShan, D Ray, M Matuszak… - IEEE transactions on …, 2019 - ncbi.nlm.nih.gov
The purpose of this study is to demonstrate that a Bayesian network (BN) approach can
explore hierarchical biophysical relationships that influence tumor response and predict …
explore hierarchical biophysical relationships that influence tumor response and predict …
Development of a Fully Cross-Validated Bayesian Network Approach for Local Control Prediction in Lung Cancer
Y Luo, D McShan, D Ray… - … on radiation and …, 2019 - pubmed.ncbi.nlm.nih.gov
The purpose of this study is to demonstrate that a Bayesian network (BN) approach can
explore hierarchical biophysical relationships that influence tumor response and predict …
explore hierarchical biophysical relationships that influence tumor response and predict …
Development of a Fully Cross-Validated Bayesian Network Approach for Local Control Prediction in Lung Cancer.
Y Luo, D McShan, D Ray, M Matuszak… - IEEE Transactions on …, 2018 - europepmc.org
The purpose of this study is to demonstrate that a Bayesian network (BN) approach can
explore hierarchical biophysical relationships that influence tumor response and predict …
explore hierarchical biophysical relationships that influence tumor response and predict …