Research Article

Extraction of Prostatic Lumina and Automated Recognition for Prostatic Calculus Image Using PCA-SVM

Table 1

Each column shows results of one time of 5-fold cross validation, which includes the five steps described.

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ATT (s)0.14380.1440.15320.14360.13140.13120.13740.15940.1530.1346
AART (%)100100100100100100100100100100
ATA (%)92.89293.692.894.493.694.491.294.492
TNS91909393939294929590
FPS6745554527
FNS3344233653
TPS25252423252524222325
Sensitivity (%)89.589.386.783.892.589.891.378.684.591.4
Specificity (%)9492.895.994.794.994.896.394.797.892.3

ATT: average training time; AART: average accuracy rate of training; ATA: average test accuracy; TNS: true negative samples; FPS: false positive samples; FNS: false negative samples; TPS: true positive samples.