Open access
Aug 2026
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...
Renate Dinnessen, N. Antonissen, Dré Peeters et al.
· European Radiology · 0 citations