Introduction by the moderator - Martijn F. Boomsma, Nigtevecht / NL
04:00
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An integrated nomogram combined clinical-semantic-radiomic features to predict invasive pulmonary adenocarcinomas in subjects with subsolid nodules - Fu-Zong Wu, Kaohsiung / TW
08:00
3
How can we help improve the identification of lung cancers mimicking unresolved community acquired pneumonias? - Farah Dadnam, Cardiff / UK
08:00
4
Lung nodule morphology: effect of deep learning versus iterative reconstruction at different dose levels - Caro Franck, Edegem / BE
08:00
5
Ultrashort echo time pulmonary MRI: nodule detection and lung-RADS classification versus standard- or low-dose CTs - Yoshiharu Ohno, Toyoake / JP
08:00
6
Contextual lung nodule detection with adjacent slices: raising hope for early detection and reducing false positives per scan - Stéphanie Lopez, Nice / FR
08:00
7
Diagnostic validation of a deep-learning nodule detection algorithm in low-dose chest CT: determination of optimised dose thresholds in a virtual screening scenario - Alan Peters, Bern / CH