Table 7 Comparison of classification accuracies between the proposed model and state-of-the-art models on the ALL dataset. The proposed model’s performance is highlighted in bold.

From: DANet a lightweight dilated attention network for malaria parasite detection

Model

ACC (%)

Singh et al.40

96.92

Gokulkrishnan et al.41

98.62

Tusar et al.42

97.50

Basymeleh et al.43

97.42

Nalluru et al.44

91.50

InceptionV345

96.93

ResNet5046

97.85

AlexNet47

96.96

DANet-S + LogSoftMax

99.08