Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT

Abstract Background Emphysema influences the appearance of lung tissue in computed tomography (CT). We evaluated whether this affects lung nodule detection by artificial intelligence (AI) and human readers (HR). Methods Individuals were selected from the “Lifelines” cohort who had undergone low-dose...

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Autors principals:	Nikos Sourlos, GertJan Pelgrim, Hendrik Joost Wisselink, Xiaofei Yang, Gonda de Jonge, Mieneke Rook, Mathias Prokop, Grigory Sidorenkov, Marcel van Tuinen, Rozemarijn Vliegenthart, Peter M. A. van Ooijen
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2024-05-01
Col·lecció:	European Radiology Experimental
Matèries:	Artificial intelligence Emphysema Multiple pulmonary nodules Software validation Tomography (x-ray computed)
Accés en línia:	https://doi.org/10.1186/s41747-024-00459-9
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