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Table 4 Mean d’ for classifying images with the tumor region removed (“background”)

From: Perceptual learning in the identification of lung cancer in chest radiographs

Experiment and train scheduleTesting imagePre-testPost-test 1Post-test 2Post-test 3Final testPre-test vs. final test
1A (N = 12)
30-image
Trained0.120.790.700.830.87P < .002
Untrained0.320.370.350.480.33P = .98
1B (N = 12)
60-image
Trained0.180.240.260.730.73P < .03
Untrained0.260.360.580.300.16P = .63
3 (N = 24)
30-image
Trained−0.10Not applicable0.44P < .001
Untrained0.03Not applicable0.14P = .29
  1. 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