Journal of Healthcare Engineering / 2019 / Article / Tab 2

Research Article

Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging

Table 2

The obtained test error rate for each class and the overall test accuracy for the detector CNN and the segmentator CNN, using both valid and same convolution.

Class C1Class C2Class C3Class C4Overall test accuracy

Detector
Valid architecture0.191.2220.281.6996.04
Same architecture0.090.477.842.0998.22

Segmentator
Valid architecture1.8515.320.340.5596.37
Same architecture1.5710.030.240.2097.47

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