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

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Title: Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset.
Authors: Zandehshahvar M; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA., van Assen M; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Kim E; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Kiarashi Y; Department of Biomedical Informatics, Emory School of Medicine, Emory University, Atlanta, USA., Keerthipati V; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA., Tessarin G; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Muscogiuri E; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Stillman AE; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Filev P; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Davarpanah AH; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Berkowitz EA; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Tigges S; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Lee SJ; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Vey BL; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., De Cecco C; Department of Radiology and Imaging Sciences, Emory School of Medicine, Emory University, Atlanta, USA., Adibi A; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA. ali.adibi@ece.gatech.edu.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Apr; Vol. 38 (2), pp. 793-803. Date of Electronic Publication: 2024 Aug 20.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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