Table 1 Summary of quantitative evaluation of liver tumor segmentation. Mean and standard deviation of the different scores for segmentation evaluation are given for algorithms \(A_1\) and \(A_2\). For comparison, the mean Dice score among raters is \(\overline{D(R_i,R_j)} = 0.781 \pm 0.121\). The p-value indicates statistical significance of differences between both algorithms, also after correction for multiple testing.

From: Improving automatic liver tumor segmentation in late-phase MRI using multi-model training and 3D convolutional neural networks

 

\(D(\cdot ,R_1)\)

\(D(\cdot ,R_2)\)

\(D(\cdot ,R_3)\)

\(\overline{D(\cdot ,R_i)}\)

\(\phi (\cdot ,R_1,R_2,R_3)\)

\(A_1\)

0.732 ± 0.210

0.744 ± 0.200

0.738 ± 0.189

0.738 ± 0.194

0.873 ± 0.082

\(A_2\)

0.689 ± 0.214

0.714 ± 0.195

0.697 ± 0.190

0.700 ± 0.196

0.852 ± 0.082

p-value

0.0017

0.0269

0.0029

0.0025

0.0022