Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant bins » significant bias (Expand Search), significant bit (Expand Search), significant hits (Expand Search)
bins decrease » point decrease (Expand Search), sizes decrease (Expand Search), nn decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant bins » significant bias (Expand Search), significant bit (Expand Search), significant hits (Expand Search)
bins decrease » point decrease (Expand Search), sizes decrease (Expand Search), nn decrease (Expand Search)
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2461
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Evaluation results.
Published 2024“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”
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2468
Dataset with steel insert.
Published 2024“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”
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2469
Reference dataset.
Published 2024“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”
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2470
Dataset with aluminium insert.
Published 2024“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”
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2471
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Assessing Bivalves as Biomonitors of Per- and Polyfluoroalkyl Substances in Coastal Environments
Published 2025Subjects: -
2479
Temperature-dependent parameter values under stable temperatures conditions.
Published 2025Subjects: -
2480