Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization

Table 6

Comparison of HAnet with other methods.

	AC (%)	SE (%)	SP (%)
SPM-BoW-SVM [42]	61.38 ± 1.22	51.47 ± 2.65	70.67 ± 2.24
Words-based-color-histogram [3]	80.34 ± 0.29	82.21 ± 0.39	78.44 ± 0.29
vgg-16(480) [28]	90.85 ± 0.98	90.12 ± 1.17	92.02 ± 2.52
dense-121(480) [26]	91.26 ± 0.43	90.47 ± 1.67	92.07 ± 2.04
Inception-ResNet-v2(480) [27]	91.45 ± 0.80	90.81 ± 1.95	92.12 ± 2.71
ResNet-34(480) [25]	91.47 ± 0.52	90.53 ± 1.14	92.41 ± 1.66
HAnet-34(480)	92.05 ± 0.52	91.64 ± 0.95	92.42 ± 1.54