From: A framework for retinal vasculature segmentation based on matched filters
No | Type | Methods | Year | Sen | Spe | ACC | AUC |
---|---|---|---|---|---|---|---|
1 | 2nd human observer | – | 0.7796 | 0.9717 | 0.9470 | – | |
2 | Unsupervised methodology | Zana et al. [27] | 2001 | 0.6971 | – | 0.9377 | 0.8984 |
3 | Jiang et al. [18] | 2003 | – | – | 0.9212 | 0.9114 | |
4 | Mendonca et al. [29] | 2006 | 0.7344 | 0.9764 | 0.9452 | – | |
5 | Al-Diri et al. [13] | 2009 | 0.7282 | 0.9551 | – | – | |
6 | Lam et al. [12] | 2010 | – | – | 0.9472 | 0.9614 | |
7 | Miri et al. [26] | 2011 | 0.7352 | 0.9795 | 0.9458 | – | |
8 | Fraz et al. [28] | 2011 | 0.7152 | 0.9759 | 0.9430 | – | |
9 | You et al. [39] | 2011 | 0.7410 | 0.9751 | 0.9434 | – | |
10 | Zhao et al. [32] | 2014 | 0.7354 | 0.9789 | 0.9477 | – | |
11 | Proposed method | 2015 | 0.7489 | 0.9818 | 0.9529 | 0.9664 | |
12 | Supervised methodology | Niemeijer et al. [34] | 2004 | – | – | 0.9416 | 0.9294 |
13 | Soares et al. [35] | 2006 | 0.7332 | 0.9782 | 0.9461 | 0.9614 | |
14 | Staal et al. [33] | 2004 | – | – | 0.9441 | 0.9520 | |
15 | Ricci et al. [11] | 2007 | – | – | 0.9595 | 0.9558 | |
16 | Lupascu et al. [36] | 2010 | 0.7200 | – | 0.9597 | 0.9561 | |
17 | Marin et al. [37] | 2011 | 0.7067 | 0.9801 | 0.9452 | 0.9588 | |
18 | Fraz et al. [41] | 2012 | 0.7406 | 0.9807 | 0.9480 | 0.9747 | |
19 | Vega et al. [38] | 2015 | 0.7444 | 0.9600 | 0.9412 | – |