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Table 1 Classification performance of the individual classifier for each lung region using the full feature set

From: The development and evaluation of a computerized diagnosis scheme for pneumoconiosis on digital chest radiographs

Lung region

Training dataset

Test dataset

 

AUC

Spe

Sen

Acc

AUC

Spe

Sen

Acc

(a)

0.932

0.885

0.852

0.877

0.855

0.805

0.776

0.791

(b)

0.961

0.991

0.682

0.891

0.884

0.928

0.699

0.826

(c)

0.996

1.000

0.976

0.990

0.688

0.788

0.474

0.682

(d)

0.824

0.833

0.655

0.778

0.742

0.763

0.594

0.710

(e)

0.924

0.902

0.766

0.854

0.834

0.838

0.699

0.791

(f)

0.722

0.570

0.791

0.648

0.563

0.531

0.728

0.592

Mean

0.893

0.864

0.787

0.840

0.761

0.776

0.662

0.732

SD

0.093

0.144

0.107

0.106

0.111

0.121

0.100

0.080

  1. AUC = area under ROC curve; Spe = specificity; Sen = sensitivity; Acc = accuracy; SD = standard deviation.
  2. Lung regions (a-c) correspond to upper, middle and lower lung field of the right lung, and region (d-f) correspond to upper, middle and lower lung field of the left lung, respectively.