Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks

EURASIP Journal on Advances in Signal Processing

Table 5 Confusion matrices and performance of the classifiers

Classifier MLP-BP	Desired results	Output	Results	Sensitivity (%)	Specificity (%)	Total class. Accuracy (%)
		MC	NT
k-means
Structure₁	MC	475	8	98.34	99.44	99.31
6 : 15 : 1	NT	27	4,759
PFCM
Structure₂	MC	534	13	97.62	99.49	99.31
6 : 12 : 1	NT	27	5,242