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Artificial intelligence for the detection of airway nodules in chest CT scans.

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Title: Artificial intelligence for the detection of airway nodules in chest CT scans.
Authors: Hendrix W; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands. ward.hendrix@radboudumc.nl.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands. ward.hendrix@radboudumc.nl., Hendrix N; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.; Jheronimus Academy of Data Science, 's-Hertogenbosch, The Netherlands., Scholten ET; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., van Ginneken B; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands., Prokop M; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands., Rutten M; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands., Jacobs C; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Source: European radiology [Eur Radiol] 2025 Sep; Vol. 35 (9), pp. 5615-5625. Date of Electronic Publication: 2025 Mar 05.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Hendrix+W%22">Hendrix W</searchLink>; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands. ward.hendrix@radboudumc.nl.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands. ward.hendrix@radboudumc.nl.<br /><searchLink fieldCode="AU" term="%22Hendrix+N%22">Hendrix N</searchLink>; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.; Jheronimus Academy of Data Science, 's-Hertogenbosch, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Scholten+ET%22">Scholten ET</searchLink>; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Ginneken+B%22">van Ginneken B</searchLink>; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Prokop+M%22">Prokop M</searchLink>; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, University Medical Center Groningen, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Rutten+M%22">Rutten M</searchLink>; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Jacobs+C%22">Jacobs C</searchLink>; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
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              Text: 2025 Sep
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