Predictive value of radiomics modeling based on dynamic and static 18F-FDG PET/CT imaging for the differential diagnosis of lymph nodes in lung cancer
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Background: We aimed to identify the most effective machine learning model for predicting the differential diagnosis of lymph nodes (LNs) in lung cancer using dynamic and static 18F-fluorodeoxyglucose (FDG) positron emission tomo... ...
