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Investigating The Uncertainties In Ct Non-Small Cell Lung Cancer Radiomics, Gary Ge
Investigating The Uncertainties In Ct Non-Small Cell Lung Cancer Radiomics, Gary Ge
Theses and Dissertations--Radiation Medicine
Radiomics is a technique that extracts quantitative features, termed radiomic features, from medical images using data-characterization algorithms. These radiomic features can be used to identify tissue characteristics and radiologic phenotyping that are not observable by clinicians in a non-invasive, low-cost manner, potentially generating image biomarkers for clinical decision. To date, there are still many uncertainties involved in radiomics which limit its clinical implementation. Herein, we propose to explore the impact of each component in the radiomics pipeline on predicting clinical outcomes. In Chapter II, we conduct a thorough review of CT lung cancer radiomics studies to examine the typical feature …