Is Intensity Inhomogeneity Correction Useful for Classification of Breast Cancer in Sonograms Using Deep Neural Network?

Table 1

Classification results of the private database (the displayed value: original/corrected).

	SDAE	AlexNet	Inception v3	ResNet	DenseNet
TP	8/11	5/6	6/7	7/7	6/6
TN	9/11	7/4	6/5	6/7	8/7
FP	4/2	7/10	8/9	8/7	6/7
FN	6/3	8/7	7/6	6/6	7/7
Precision	0.67/0.85	0.42/0.38	0.43/0.44	0.5/0.5	0.5/0.46
Recall	0.57/0.79	0.38/0.46	0.46/0.54	0.46/0.54	0.46/0.46
Specificity	0.69/0.85	0.5/0.28	0.43/0.36	0.57/0.5	0.57/0.5
Accuracy	0.63/0.82	0.44/0.37	0.44/0.44	0.51/0.52	0.52/0.48
F-measure	0.62/0.85	0.4/0.41	0.44/0.48	0.48/0.52	0.48/0.46