Automatic Detection of Hard Exudates in Color Retinal Images Using Dynamic Threshold and SVM Classification: Algorithm Development and Evaluation

Table 1

Overall performance comparison of our proposed algorithm with published studies for HE detection on e-ophtha EX dataset.

Methods	Sensitivity	PPV	F-score
Zhang et al. (2014) [12]	74%	72%	73%
Welfer et al. (2010) [38]	79%	55%	69%
Imani et al. (2016) [39]	80.32%	77.28%	-
Liu et al. (2017) [30]	76%	75%	76%
Kusakunniran et al. (2018) [40]	56.4%	-	-
Our proposed algorithm	76.5%	82.7%	76.7%