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The QA method achieved promising image registration error detection, with the following metrics for the nine ROIs balanced accuracy, 0.946±0.029; sensitivity, 0.959±0.021; and specificity, 0.933±0.050. The proposed method could potentially evaluate the deformable registration accuracy of specific areas. The preliminary NPC result shows that it has consistent performance with the conventional evaluation method with higher efficiency. The proposed method could potentially evaluate the deformable registration accuracy of specific areas. T
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