Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset.

In this study, we present a method based on Monte Carlo Dropout (MCD) as Bayesian neural network (BNN) approximation for confidence-aware severity classification of lung diseases in COVID-19 patients using chest X-rays (CXRs). Trained and tested on 1208 CXRs from Hospital 1 in the USA, the model cat...

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Publicado en:	Journal of Imaging Informatics in Medicine Vol. 38; no. 2; pp. 793 - 804
Autores principales:	Zandehshahvar, Mohammadreza, van Assen, Marly, Kim, Eun, Kiarashi, Yashar, Keerthipati, Vikranth, Tessarin, Giovanni, Muscogiuri, Emanuele, Stillman, Arthur E., Filev, Peter, Davarpanah, Amir H., Berkowitz, Eugene A., Tigges, Stefan, Lee, Scott J., Vey, Brianna L., De Cecco, Carlo, Adibi, Ali
Formato:	diagnostic images equations & formulas research tables/charts Journal Article
Publicado:	Springer Nature Apr2025
Acceso en línea:	Ver este registro en EBSCOhost