بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
significant bins » significant bias (توسيع البحث), significant bit (توسيع البحث), significant hits (توسيع البحث)
bins decrease » point decrease (توسيع البحث), sizes decrease (توسيع البحث), nn decrease (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
significant bins » significant bias (توسيع البحث), significant bit (توسيع البحث), significant hits (توسيع البحث)
bins decrease » point decrease (توسيع البحث), sizes decrease (توسيع البحث), nn decrease (توسيع البحث)
-
101
-
102
-
103
-
104
-
105
-
106
-
107
-
108
Evaluation results.
منشور في 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. …"
-
109
Dataset with steel insert.
منشور في 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. …"
-
110
Reference dataset.
منشور في 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. …"
-
111
Dataset with aluminium insert.
منشور في 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. …"
-
112
-
113
-
114
-
115
-
116
-
117
-
118
-
119
-
120