Research Article: Advancing NSCLC pathological subtype prediction with interpretable machine learning: a comprehensive radiomics-based approach
Introduction:
Objective: This research aims to develop and assess the performance of interpretable machine learning models for diagnosing three histological subtypes of non-small cell lung cancer (NSCLC) utilizing CT imaging data.
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