Leveraging Deep Learning Techniques for Malaria Parasite Detection Using Mobile Application

Table 6

Comparison of performance of proposed and the state-of-the-art approaches.

Model	Accuracy	AUC	Precision	Recall (sensitivity)	F1-score	MCC
Proposed model (CLR-triangular2)	0.9730	0.9704	0.97	0.97	0.970	0.9417
Rajaraman et al.; Customized model [4]	0.9400	0.9790	0.951	0.931	0.941	0.880
Rajaraman et al.; ResNet-50 [4]	0.9570	0.9900	0.969	0.945	0.957	0.912
Rajaraman et al.; VGG-16 [4]	0.9450	0.9810	0.951	0.939	0.945	0.887
Gopakumar et al. [26]	0.9770	—	0.985	0.971	0.977	0.731
Bibin et al. [16]	0.963	—	0.959	0.976	0.967	—
Liang et al. [12]	0.973	—	0.977	0.969	0.972	—