TPi and FPi represent the i-th category of true positives (TP) and false positives (FP) respectively, while k represents the total number of target categories in the dataset. The average segmentation accuracy and segmentation performance of the model improve as the m_Dice and mIoU values increase.

Segmentation Accuracy Metrics: m_Dice and mIoU Explained

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