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Table 2 The classification performance of visual inspection, GPnorm, and ResNet18 in separating ABE from non-ABE HB patients, as evaluated by sensitivity, specificity, precision, F1-score, Accuracy, AUC

From: Detecting neonatal acute bilirubin encephalopathy based on T1-weighted MRI images and learning-based approaches

Methods Sensitivity Specificity Precision F1-Score Accuracy AUC
Visual inspection 52.48 ± 13.58% 55.21 ± 7.86% 62.95 ± 3.58% 56.79 ± 8.90% 53.58 ± 5.71% 53.87 ± 4.11%
GPnorm 68.10% 78.10% 82.05% 74.42% 72.15% 76.90%
ResNet18 78.95 ± 17.85% 45.26 ± 19.19% 59.58 ± 7.09% 67.11 ± 8.28% 62.11 ± 8.03% 68.92 ± 11.06%
  1. The maximum value of performance metrics for each method was marked in bold