Research Article

Nominated Texture Based Cervical Cancer Classification

Table 4

Precision of SVM classifier for the combination of various features set.

SVM with linear kernelPrecision %
FeaturesNormal squamousIntermediate squamousColumnarMild dysplasiaModerate dysplasiaSevere dysplasiaCarcinoma in situ

F193.6791.2789.3080.1384.0632.7586.46
F294.5489.5287.3473.5884.0638.4383.19
F391.9292.3689.3080.1384.0621.4083.62
F493.6792.1487.5580.1384.0627.2983.62
F597.0192.3689.0380.1384.0628.1784.06
F696.5191.9287.3480.7984.0627.9583.41
F790.6192.3689.3580.1384.0623.5883.62
F1, F2, F394.5489.5288.4377.7384.0647.3885.59
F4, F696.9491.9287.9980.5784.1029.9183.62
F4, F5, F696.0791.2786.9079.6983.6236.9084.50
F4, F5, F6, F796.2991.2785.5978.8283.8445.4184.28
F1, F2, F3, F4, F5, F6, F797.3893.8986.9087.3383.6258.5284.72