Cornelia Schaefer-Prokop

Multicentre performance and consistency of two deep learning models for malignancy probability estimation of incidental pulmonary nodules.

OBJECTIVES A screening-trained deep learning (DL) model (DL1) for pulmonary nodule malignancy probability estimation on CT previously demonstrated good discrimination on a single-centre dataset of incidental nodules. An updated DL model (DL2) was trained on both screening and clinical data. We aimed to test the perform...