Table 4.
Mean d’ for classifying images with the tumor region removed (“background”)
| Experiment and train schedule | Testing image | Pre-test | Post-test 1 | Post-test 2 | Post-test 3 | Final test | Pre-test vs. final test |
|---|---|---|---|---|---|---|---|
|
1A (N = 12) 30-image |
Trained | 0.12 | 0.79 | 0.70 | 0.83 | 0.87 | P < .002 |
| Untrained | 0.32 | 0.37 | 0.35 | 0.48 | 0.33 | P = .98 | |
|
1B (N = 12) 60-image |
Trained | 0.18 | 0.24 | 0.26 | 0.73 | 0.73 | P < .03 |
| Untrained | 0.26 | 0.36 | 0.58 | 0.30 | 0.16 | P = .63 | |
|
3 (N = 24) 30-image |
Trained | −0.10 | Not applicable | 0.44 | P < .001 | ||
| Untrained | 0.03 | Not applicable | 0.14 | P = .29 | |||
P values show results from t tests that compared pre-test with the final post-test. The overall d’ during pre-test was not different from chance, p = .10