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. 2022 Jun 2;16:918623. doi: 10.3389/fnins.2022.918623

TABLE 5.

Segmentation performance on the test set under different training strategies.

Method DC SDC ASSD (mm) HD95 (mm)
Proposed 0.8257 0.8591 0.3832 1.9124
w/o nonuniform patch sampling 0.8108 (−0.0149) 0.8455 (−0.0136) 0.4259 (+0.0427) 2.1384 (+0.2260)
w/o deep supervision 0.8048 (−0.0209) 0.8324 (−0.0267) 0.4500 (+0.0668) 2.2460 (+0.3336)
w/o data augmentation 0.7893 (−0.0364) 0.8461 (−0.0130) 0.4242 (+0.0410) 2.1782 (+0.2658)