Skip to main content
. 2011 Oct 21;52(11):8316–8322. doi: 10.1167/iovs.10-7012

Table 3.

AUC Results from Dataset A of Texture Features, Shape Features, and Their Combinations under the Best Edge Detection Threshold t

AUC Texture (T) Shape (S) Texture + Shape (TS) Significance Test
NM 0.969 ± 0.002 0.971 ± 0.002 (t = 0.4) 0.976 ± 0.002 (t = 0.4) T ≈ S, T < TS, S ≈ TS
MH 0.846 ± 0.011 0.931 ± 0.005 (t = 0.4) 0.919 ± 0.005 (t = 0.4) T < S, T < TS, S ≈ TS
ME 0.939 ± 0.004 0.923 ± 0.005 (t = 0.3) 0.939 ± 0.004 (t = 0.4) S < T, T ≈ TS, S < TS
AMD 0.925 ± 0.008 0.931 ± 0.005 (t = 0.2) 0.938 ± 0.006 (t = 0.2) T ≈ S ≈ TS
Average 0.908 ± 0.008 0.932 ± 0.005 0.936 ± 0.006

Data are the mean ± SD. The best results for each macular category are shown in bold. The rightmost column shows the results of the DeLong test at a P = 0.05 significance level, where < shows that the setting on the right performs better than that on the left, and ≈ represents no significant difference.