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Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance.

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Title: Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance.
Authors: Gabriel RM; School of Electrical and Computer Engineering, Georgia Institute of Technology, 791 Atlantic Dr NW, Atlanta, GA, 30332, USA., Zandehshahvar M; School of Electrical and Computer Engineering, Georgia Institute of Technology, 791 Atlantic Dr NW, Atlanta, GA, 30332, USA., van Assen M; Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA., Kittisut N; School of Electrical and Computer Engineering, Georgia Institute of Technology, 791 Atlantic Dr NW, Atlanta, GA, 30332, USA., Peters K; College of Computing, Georgia Institute of Technology, Atlanta, GA, USA., De Cecco CN; Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA., Adibi A; School of Electrical and Computer Engineering, Georgia Institute of Technology, 791 Atlantic Dr NW, Atlanta, GA, 30332, USA. ali.adibi@ece.gatech.edu.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Dec 10. Date of Electronic Publication: 2025 Dec 10.
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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  Data: Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance.
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  Data: <searchLink fieldCode="AU" term="%22Gabriel+RM%22">Gabriel RM</searchLink>; School of Electrical and Computer Engineering, Georgia Institute of Technology, 791 Atlantic Dr NW, Atlanta, GA, 30332, USA.<br /><searchLink fieldCode="AU" term="%22Zandehshahvar+M%22">Zandehshahvar M</searchLink>; School of Electrical and Computer Engineering, Georgia Institute of Technology, 791 Atlantic Dr NW, Atlanta, GA, 30332, USA.<br /><searchLink fieldCode="AU" term="%22van+Assen+M%22">van Assen M</searchLink>; Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22Kittisut+N%22">Kittisut N</searchLink>; School of Electrical and Computer Engineering, Georgia Institute of Technology, 791 Atlantic Dr NW, Atlanta, GA, 30332, USA.<br /><searchLink fieldCode="AU" term="%22Peters+K%22">Peters K</searchLink>; College of Computing, Georgia Institute of Technology, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22De+Cecco+CN%22">De Cecco CN</searchLink>; Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22Adibi+A%22">Adibi A</searchLink>; School of Electrical and Computer Engineering, Georgia Institute of Technology, 791 Atlantic Dr NW, Atlanta, GA, 30332, USA. ali.adibi@ece.gatech.edu.
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  Data: <searchLink fieldCode="JN" term="%229918663679206676%22">Journal of imaging informatics in medicine</searchLink> [J Imaging Inform Med] 2025 Dec 10. <i>Date of Electronic Publication: </i>2025 Dec 10.
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        Value: 10.1007/s10278-025-01752-8
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      – TitleFull: Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance.
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              Text: 2025 Dec 10
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