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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Detalles Bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	SpringerOpen 2024-05-01
Series:	European Radiology Experimental
Assuntos:	Artificial intelligence Emphysema Multiple pulmonary nodules Software validation Tomography (x-ray computed)
Acceso en liña:	https://doi.org/10.1186/s41747-024-00459-9
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