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 | – |