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Table 2 Classification module mean performance on five folds for thin smears compared to the state-of-the-art

From: Malaria Screener: a smartphone application for automated malaria screening

  Accuracy AUC Sensitivity Specificity F1-score
Proposed Module (Patch-level) [14] 98.6% 99.9% 98.1% 99.2% 98.7%
Proposed Module (Patient-level) [14] 95.9% 99.1% 94.7% 97.2% 95.9%
Gopakumar et al. (2018) [5] 97.7% 97.1% 98.5%
Bibin, Nair & Punitha (2017) [22] 96.3% 97.6% 95.9%
Dong et al. (2017) [23] 98.1%
Liang et al. (2017) [24] 97.3% 96.9% 97.7%
Das et al. (2013) [25] 84.0% 98.1% 68.9%
Ross et al. (2006) [26] 73.0% 85.0%