Keywords: generative models, radiomics, low dose CTs, features’ reproducibility and performance

"Generative Models Improve Radiomics Reproducibility and Performance in Low Dose CTs"

This thesis focused on using generative models to improve radiomics reproducibility and performance in low-dose CTs. Different generative models were included as testing models, and models were trained based on paired simulation data and unpaired real data. Before delving into the story of low-dose CT radiomics enhancement, this thesis investigated some details about generative models for low-dose denoising and applied low-dose CT radiomics to a new application. The results showed that low-dose CT radiomics achieved good performance in the new applications, and generative models can improve radiomics reproducibility and performance in low-dose CTs.   

Language: English

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