Incorporating normal periventricular changes for enhanced pathological white matter hyperintensity segmentation: on multiclass deep learning approaches.

According Table 2 , U-Net and DeepLabV3Plus achieved highly significant improvements ( p < 0.0001) with large effect sizes (Cohen’s d > 0.56), indicating substantial practical significance.

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