PET/CT-based deep learning for differentiating squamous cell carcinoma from adenocarcinoma in non-small cell lung cancer: comparison of multimodal fusion strategies.
OBJECTIVE This study aimed to evaluate 18F-fluorodeoxyglucose (18F-FDG) PET/computed tomography (CT)-based deep learning for differentiating squamous cell carcinoma (SqCC) from adenocarcinoma (ADC) in non-small cell lung cancer (NSCLC) and to compare single-modality and multimodal fusion strategies. METHODS This retr...