Detectability of pulmonary nodules by deep learning: results from a phantom study

Purpose To investigate how nodule size, nodule density, scan dose, slice thickness and reconstruction methods affect the performance of a deep learning (DL) model for detection of pulmonary nodules in phantom CT scans.