ALGORITHM

TP

TN

FP

FN

Accuracy

Sensitivity

Specificity

PPV

NPV

Input Image 1

Legendre ROI

46.933

49.217

3.066

0.782

96.151

0.9836

0.94135

0.93867

0.98435

Zernike ROI

43.988

48.466

6.011

1.533

92.454

0.96631

0.88965

0.87977

0.96932

Racah ROI

47.430

49.344

2.569

0.655

96.775

0.98637

0.95051

0.94861

0.98689

Legendre WS

44.357

48.103

5.643

1.896

92.460

0.95899

0.89501

0.88714

0.96206

Zernike WS

20.652

40.134

29.347

9.865

60.787

0.67674

0.57762

0.41304

0.8027

Racah WS

39.489

46.467

10.510

3.533

85.956

0.91788

0.81553

0.78979

0.92934

Input Image 2

Legendre ROI

45.844

48.967

4.156

1.032

94.811

0.97798

0.92177

0.91688

0.97935

Zernike ROI

49.374

49.844

0.6254

0.155

99.219

0.99686

0.98761

0.98749

0.99689

Racah ROI

45.860

48.971

4.139

1.028

94.832

0.97807

0.92206

0.91721

0.97943

Legendre WS

46.428

48.827

3.571

1.172

95.255

0.97536

0.93184

0.92857

0.97654

Zernike WS

24.652

41.676

25.347

8.323

66.329

0.74759

.062181

0.49305

0.83354

Racah Watershed

41.255

47.128

8.744

2.871

88.384

0.93493

0.84349

0.82511

0.94257