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Table 6 Results comparison with existing methods on complete STARE database.

From: A framework for retinal vasculature segmentation based on matched filters

No

Type

Methods

Year

Sen

Spe

ACC

AUC

1

 

2nd human observer

0.8951

0.9384

0.9348

2

Unsupervised methodology

Hoover et al. [15]

2000

0.6747

0.9565

0.9264

3

Jiang et al. [18]

2003

0.9009

4

Mendonca et al. [29]

2006

0.6996

0.9730

0.9440

5

Lam et al. [30]

2008

0.9474

0.9392

6

Al-Diri et al. [13]

2009

0.7521

0.9681

7

Lam et al. [12]

2010

0.9567

0.9739

8

Fraz et al. [28]

2011

0.7311

0.9680

0.9442

9

You et al. [39]

2011

0.7260

0.9756

0.9497

10

Zhao et al. [32]

2014

0.7187

0.9767

0.9509

11

Proposed method

2015

0.7413

0.9825

0.9569

0.9682

12

Supervised methodology

Staal et al. [33]

2004

0.9516

0.9614

13

Soares et al. [35]

2006

0.7207

0.9747

0.9479

0.9671

14

Ricci et al. [11]

2007

0.9584

0.9602

15

Marin et al. [37]

2011

0.6944

0.9819

0.9526

0.9769

16

Fraz et al. [41]

2012

0.7548

0.9763

0.9534

0.9768

17

Vega et al. [38]

2015

0.7019

0.9671

0.9483

  1. –, means the value is not answered in the reference paper
  2. Italic numbers denote the best cases among unsupervised methods and the comparatively better results among supervised ones in terms each evaluation criterion