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Table 2 Bootstrap test of FROC between 3D-Mask-RCNN and 3D-Unet

From: Automated meniscus segmentation and tear detection of knee MRI with a 3D mask-RCNN

FROC

FOM

CI

p-value

3D-Mask-RCNN

0.3732

(0.0975,0.7506)

0.0011

3D-Unet

  1. Figures-of-merit (FOM) is the difference in the area under FROC curve between the two methods at a threshold of 4 FPs/view; CI confidence interval
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European Journal of Medical Research

ISSN: 2047-783X

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