Article Review: Leveraging machine learning with dynamic 18F FDG PET CT integrating metabolic and flow features for lung cancer differential diagnosis

Objectives This study proposes an explainable machine learning (ML) model using dynamic features extracted from 18F-fluorodeoxyglucose (18F-FDG) Positron Emission Tomography/Computed Tomography (PET/CT) to differentiate between benign and malignant l...