Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population.

John T Murchison¹, Gillian Ritchie¹, David Senyszak², Jeroen H Nijwening³, Gerben van Veenendaal³, Joris Wakkie³, Edwin J R van Beek^1,2

¹Department of Radiology, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.

²Edinburgh Imaging facility QMRI, University of Edinburgh, Edinburgh, United Kingdom.

³Aidence, Amsterdam, The Netherlands.

PubMed PMC DOI PDF

Abstract

OBJECTIVE: In this study, we evaluated a commercially available computer assisted diagnosis system (CAD). The deep learning algorithm of the CAD was trained with a lung cancer screening cohort and developed for detection, classification, quantification, and growth of actionable pulmonary nodules on chest CT scans. Here, we evaluated the CAD in a retrospective cohort of a routine clinical populatio…

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