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Impact of CT Intensity and Contrast Variability on Deep-Learning-Based Lung-Nodule Detection: A Systematic Review of Preprocessing and Harmonization Strategies (2020–2025).

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Title: Impact of CT Intensity and Contrast Variability on Deep-Learning-Based Lung-Nodule Detection: A Systematic Review of Preprocessing and Harmonization Strategies (2020–2025).
Authors: Khan, Saba1 (AUTHOR), Noor, Muhammad Nouman1,2 (AUTHOR), Ashraf, Imran1,3 (AUTHOR), Masud, Muhammad I.1,2 (AUTHOR), Aman, Mohammed2,3 (AUTHOR)
Source: Diagnostics (2075-4418). Jan2026, Vol. 16 Issue 2, p201. 25p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Jan2026, Vol. 16 Issue 2, p201. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191214913
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        Value: 10.3390/diagnostics16020201
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        Text: English
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      – TitleFull: Impact of CT Intensity and Contrast Variability on Deep-Learning-Based Lung-Nodule Detection: A Systematic Review of Preprocessing and Harmonization Strategies (2020–2025).
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              Text: Jan2026
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              Y: 2026
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