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Table 5 Comparison of quantitative results of different methods on the REFUGE dataset. Some of the results are derived from [27]

From: Self-supervised pre-training for joint optic disc and cup segmentation via attention-aware network

Method

DC\(_{disc}\)

DC\(_{cup}\)

CHUKMED

0.9602

0.8826

Masker

0.9496

0.8837

BUCT

0.9525

0.8728

NKSG

0.9488

0.8643

VRT

0.9532

0.8600

AIML

0.9505

0.8519

Mammoth

0.9361

0.8667

SMILEDeepDR

0.9386

0.8367

NightOwl

0.9487

0.8257

SDSAIRC

0.9436

0.8315

Cvblab

0.9077

0.7728

WinterFell

0.8772

0.6861

M-Net [13]

0.9436

0.8315

POSAL [17]

0.9602

0.8826

Mask R-CNN [82]

0.9504

0.8546

Liu et al. [27]

0.9601

0.8903

Ours

0.9657

0.8976