Characterization of material identification metrics (Sensitivity, specificity, Area under the curve (AUC 3), accuracy, Negative predictive value (NPV), and Positive predictive value (PPV)) and quantification analysis (root mean square error (RMSE)) for Hydroxyapatite (HA) and iodine, both with and without the presence of aluminium (AL) and steel.
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下载链接：
https://figshare.com/articles/dataset/Characterization_of_material_identification_metrics_Sensitivity_specificity_Area_under_the_curve_AUC_3_accuracy_Negative_predictive_value_NPV_and_Positive_predictive_value_PPV_and_quantification_analysis_root_mean_square_error_RMSE_for_Hydr/27016751
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资源简介：
Characterization of material identification metrics (Sensitivity, specificity, Area under the curve (AUC 3), accuracy, Negative predictive value (NPV), and Positive predictive value (PPV)) and quantification analysis (root mean square error (RMSE)) for Hydroxyapatite (HA) and iodine, both with and without the presence of aluminium (AL) and steel.
创建时间：
2024-09-13
