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Table 2 Total number of infarct positive brain regions in 15 test subjects in group A and 15 non-infarcted test subjects in group B compared with radiologist evaluation

From: 3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke

CNN features Group A Group B Group A + group B
TN TP FN FP DSC Sensitivity Specificity FP DSC
CTA 78 99 6 117 0.62 0.94 0.40 92 0.48
CTA + hemispheric comparison 158 98 7 37 0.82 0.93 0.81 46 0.69
CTA + hemispheric comparison + non-contrast CT 159 98 7 36 0.82 0.93 0.82 34 0.72
  1. The number of true negative (TN), true positive (TP), false negative (FN), and false positive (FP) regions were used to calculate sensitivity specificity and Dice similarity coefficient (DSC). Convolution neural networks CNNs were evaluated for computed tomography angiography (CTA) alone, for CTA plus hemispheric comparison, and for CTA plus hemispheric comparison plus non-contrast CT. For the regions (M1–6, I, L, C, IC on both hemispheres), see text
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