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Table 6 Statistical average results for test images of 1 to 20 from the datasets

From: Structure-based level set method for automatic retinal vasculature segmentation

Dataset

Method

Se

Sp

Ppv

Npv

Acc

κ

DRIVE

Unsupervised

PBLS[24]

0.7754

0.9348

0.6403

0.9655

0.9140

0.6494

Jiang et al.[12]

-

-

-

-

0.9212

-

Martinez-Perez et al.[13]

0.7246

0.9655

-

-

0.9344

-

Proposed

0.7704

0.9613

0.7460

0.9658

0.9365

0.7198

Budai et al.[17]

0.6440

0.9870

-

-

0.9572

-

Supervised

Staal et al.[16]

0.7194

0.9773

-

-

0.9442

-

Marin et al.[14]

0.7067

0.9801

0.8433

0.9582

0.9452

-

Soares et al.[15]

0.7283

0.9788

-

-

0.9466

-

Ours

Unsupervised

PBLS[24]

0.6600

0.9482

0.4380

0.9804

0.9328

0.4754

Proposed

0.5179

0.9810

0.6042

0.9737

0.9567

0.5192

STARE

Unsupervised

PBLS[24]

0.8268

0.9117

0.5227

0.9803

0.9035

0.5822

Hoover et al.[11]

0.6751

0.9567

-

-

0.9267

-

Martinez-Perez et al.[13]

0.7506

0.9569

-

-

0.9410

-

Proposed

0.6926

0.9726

0.7633

0.9656

0.9441

0.6779

Supervised

Soares et al.[15]

0.7103

0.9737

-

-

0.9480

-

Staal et al.[16]

0.6970

0.9810

-

-

0.9516

-

  

Marin et al.[14]

0.6944

0.9819

-

-

0.9526

-