Journal of Healthcare Engineering / 2018 / Article / Tab 1

Research Article

Local Binary Patterns Descriptor Based on Sparse Curvelet Coefficients for False-Positive Reduction in Mammograms

Table 1

Result of SOM segmentation.

Dataset usedResult of SOM clustering and thresholdTPR (true-positive rate) = TP/#lesionsFPPI (false-positive per image) = FP/#images
MassSegmented nonmass (FP)Total (#) images
Segmented (TP)Lost

MIAS1087273322(108/115) = 0.94(273/322) = 0.85
DDSM140101203250(140/150) = 0.93(1203/250) = 4.81
TMCH1728837360(172/180) = 0.95(837/360) = 2.32

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