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Table 4 Ablation analysis of different components in the proposed network with the best results in bold

From: A neural network with a human learning paradigm for breast fibroadenoma segmentation in sonography

Network

DSC ↑

HD (mm) ↓

Time (h)↓

baseline

0.869240

8.963769

4

baseline + C3ECA

0.873358

9.295890

2.5

baseline + LogSparse

0.874087

8.790277

4.75

baseline + C3ECA + LogSparse

0.875815

5.820322

2.75