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 C1	Class C2	Class C3	Class C4	Overall test accuracy
Detector
Valid architecture	0.19	1.22	20.28	1.69	96.04
Same architecture	0.09	0.47	7.84	2.09	98.22
Segmentator
Valid architecture	1.85	15.32	0.34	0.55	96.37
Same architecture	1.57	10.03	0.24	0.20	97.47