Table 2. Comparison of different arteriole and venule classification algorithms on public data sets.

Methods	Year	Database	Acc'	Description
Niemeijer et al. [9]	2009	DRIVE	0.88 (AUC)	Method evaluated on known vessel centerlines
Mirsharif et al. [32]	2011	DRIVE	86%	Method evaluated on selected major vessels and main branches
Dashtbozorg et al. [6]	2014	DRIVE	87.4%	Method developed and evaluated on known vessel centerline locations
Estrada et al. [7]	2015	DRIVE	93.5%	Methods developed and evaluated on known vessel centerline locations
Xu et al. [13]	2016	DRIVE	83.2%	Method evaluated on all correctly detected vessels
Proposed method	2017	DRIVE	90.0%	Method evaluated on automatically detected vessels
Dashtbozorg et al. [6]	2014	INSPIRE-AVR	88.3%	Method developed and evaluated on known vessel centerline locations
Estrada et al. [7]	2015	INSPIRE-AVR	90.9%	Method developed and evaluated on known vessel centerline locations
Proposed method	2017	INSPIRE-AVR	79.2%	Method evaluated on automatically detected vessels