Table 4. WBC nuclei detection accuracy, specificity and sensitivity in blood smear images (n = 10).
Author | Year | Method | Accuracy (%) | Specificity (%) | Sensitivity (%) |
---|---|---|---|---|---|
Safuan et al. [56] | 2018 | Otsu thresholding and watershed marker | 98.87 | 96.87 | 99.1 |
Huang et al. [57] | 2012 | Otsu thresholding | 98 | - | - |
Danyali et al. [58] | 2015 | Fuzzy divergence threshold | 98 | ||
Manik et al. [59] | 2016 | Adaptive thresholding | 98.9 | ||
Li et al. [60] | 2016 | Dual thresholding | 97.85 | ||
Wang et al. [61] | 2106 | Spectral and morphologic | 90 | ||
Negm et al. [62] | 2018 | K-mean clustering | 99.15 | 99.52 | 99.34 |
Khosroseresliki et al. [45] | 2017 | Simple thresholding | 93.7 | - | - |
Bouchet et al. [46] | 2019 | Fuzzy set algorithm | 99.3 | - | - |
Jha et al. [47] | 2019 | Hybrid model based on Mutual Information | 98.7 | 98 | 98 |