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Table 2 Shape similarity metrics for the proposed GAN model with existing models

From: Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation

 

Dice similarity coefficient (DSC)

Jaccard index (IOU)

Hausdorff distance

F1 score

Accuracy

Sensitivity

Specificity

CGAN [26]

0.8112

-

-

0.8106

-

-

-

Style-Based_GAN [27]

-

0.989

-

-

0.970

0.957

0.982

Fundus GAN [29]

-

-

-

-

0.8605

0.8654

0.8689

Proposed Model

0.9853

0.9900

1.20

0.9299

0.9804

0.9745

0.9867