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Open Access

Peer-reviewed

Research Article

Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population

John T. Murchison ,

Roles Conceptualization, Investigation, Methodology, Supervision, Writing – review & editing

* E-mail: john.murchison@luht.scot.nhs.uk (JTM); jeroen.nijwening@aidence.com (JHN)

Affiliation Department of Radiology, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
⨯
Gillian Ritchie,

Roles Formal analysis, Investigation, Methodology, Writing – review & editing

Affiliation Department of Radiology, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
⨯
David Senyszak,

Roles Formal analysis, Investigation, Methodology, Writing – review & editing

Affiliation Edinburgh Imaging facility QMRI, University of Edinburgh, Edinburgh, United Kingdom
⨯
Jeroen H. Nijwening ,

Roles Writing – review & editing

* E-mail: john.murchison@luht.scot.nhs.uk (JTM); jeroen.nijwening@aidence.com (JHN)

Affiliation Aidence, Amsterdam, The Netherlands

https://orcid.org/0000-0001-8855-6086

⨯
Gerben van Veenendaal,

Roles Data curation

Affiliation Aidence, Amsterdam, The Netherlands
⨯
Joris Wakkie,

Roles Methodology, Writing – review & editing

Affiliation Aidence, Amsterdam, The Netherlands
⨯
Edwin J. R. van Beek

Roles Conceptualization, Investigation, Methodology, Supervision, Writing – review & editing

Affiliations Department of Radiology, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom, Edinburgh Imaging facility QMRI, University of Edinburgh, Edinburgh, United Kingdom
⨯

Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population

John T. Murchison,
Gillian Ritchie,
David Senyszak,
Jeroen H. Nijwening,
Gerben van Veenendaal,
Joris Wakkie,
Edwin J. R. van Beek

x

Published: May 5, 2022
https://doi.org/10.1371/journal.pone.0266799

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Computed axial tomography
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Radiologists
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Computer software
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Lung and intrathoracic tumors
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Cancer screening
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Deep learning
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Cancer detection and diagnosis
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Computer-assisted instruction
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