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Table 3 Performance indices for the classifiers working on MR images

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

0.88076

0.75288

0.41117

S-CNN-1

0.88359

0.76294

0.38205

S-CNN-2

0.79824

0.52781

0.38643

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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