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.