Predicting drainage success of peritonsillar abscesses: a radiomics-based machine learning approach using contrast-enhanced computed tomography
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Purpose: To develop and validate radiomics-based machine learning models combined with clinical parameters derived from venous phase contrast-enhanced computed tomography (CECT) for predicting drainage success in patients with pe... ...
