Author

Colin Jacobs

2 papers indexed here

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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

Open access Jul 2026

Deep learning-based malignancy probability estimation of pulmonary nodules in PET/CT imaging.

OBJECTIVE The current BTS guidelines recommend evaluation of suspicious pulmonary nodules using [18F]FDG-PET/CT imaging, followed by Herder model risk stratification. However, it is based on limited imaging features, which may limit diagnostic accuracy. This study aims to develop a PET/CT-based deep learning (DL) model...

L. Leijten, E. Aarntzen, R. Verhoeven et al. · European Radiology · 0 citations