Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosis

Table 3 Average classification accuracies and standard deviations (±) for specific feature extraction methods, databases and experts

Feature extraction	Data set	Expert	Patch-based				Image-based				Patient-based
			Expert diagnosis		Hybrid diagnosis		Expert diagnosis		Hybrid diagnosis		Expert diagnosis		Hybrid diagnosis
			mean	±	mean	±	mean	±	mean	±	mean	±	mean	±
LBP	mean	mean	0.811	0.091	0.906	0.013	0.893	0.065	0.928	0.026	0.921	0.070	0.978	0.019
MFS	mean	mean	0.811	0.091	0.863	0.052	0.893	0.065	0.906	0.046	0.921	0.070	0.968	0.030
IFV	mean	mean	0.811	0.091	0.895	0.065	0.893	0.065	0.926	0.030	0.921	0.070	0.981	0.017
mean	DB-1	mean	0.862	0.022	0.905	0.007	0.876	0.083	0.917	0.039	0.881	0.074	0.956	0.018
mean	DB-2	mean	0.865	0.037	0.899	0.031	0.915	0.031	0.921	0.027	0.959	0.022	0.996	0.003
mean	DB-3	mean	0.706	0.064	0.859	0.045	0.887	0.063	0.921	0.042	0.924	0.072	0.975	0.020
mean	mean	A	0.833	0.046	0.887	0.006	0.963	0.006	0.963	0.006	0.984	0.011	0.989	0.012
mean	mean	B	0.763	0.102	0.876	0.041	0.864	0.036	0.897	0.023	0.884	0.050	0.968	0.024
mean	mean	C	0.837	0.090	0.900	0.036	0.850	0.054	0.900	0.020	0.896	0.073	0.969	0.025

LBP: Local binary patterns; MFS: Multi-fractal spectrum; IFV: Improved Fisher vectors.