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Table 5 Performance indices for the classifiers working on the ROIs

From: A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

Network ID

Mean accuracy

Weighted IoU

Mean BF score

VGG-16

0.86016

0.75426

0.34828

S-CNN-1

0.8726

0.8540

0.4332

S-CNN-2

0.8550

0.82931

0.41515