Table 2 Model performance of five-fold cross validation on the external test set.

From: An ultrasonography of thyroid nodules dataset with pathological diagnosis annotation for deep learning

  

AUROC

AUPRC

Accuracy

Sensitivity

Specificity

ThyUS2Path

Fold1

0.738

0.800

0.684

0.705

0.646

Fold2

0.708

0.777

0.727

0.811

0.569

Fold3

0.718

0.798

0.668

0.607

0.785

Fold4

0.724

0.817

0.743

0.836

0.569

Fold5

0.790

0.834

0.775

0.828

0.677

Maxpool

Fold1

0.805

0.849

0.348

0.000

1.000

Fold2

0.652

0.776

0.722

0.885

0.415

Fold3

0.722

0.810

0.743

0.910

0.431

Fold4

0.757

0.846

0.706

0.713

0.692

Fold5

0.691

0.790

0.695

0.730

0.631

Meanpool

Fold1

0.647

0.742

0.690

0.754

0.569

Fold2

0.668

0.759

0.754

0.918

0.446

Fold3

0.693

0.750

0.679

0.656

0.723

Fold4

0.653

0.749

0.636

0.615

0.677

Fold5

0.737

0.797

0.733

0.762

0.677