Biomedical Diagnosis of Leukemia Using a Deep Learner Classifier

Table 3

Comparison of three-performance metrics.

Developed method	Method to extract features	Classifier name	Accuracy	Precision	Recall (%)
Mondal et al., 2021 [1]	CNN	CNN	86.2%	88.7%	88.8
Oliveira and Dantas, 2021 [2]	CNN	CNN	91.49%	89.61%	93.90
Shaheen et al., 2021 [3]	CNN	AlexNet	98.58%	87.4%	88.9
Sashank et al., 2021 [6]	CNN	SVM, KNN, decision trees	95.05%	95.25	96.75
Claro et al., 2020 [7]	CNN	CNN	97.18%	97.23%	97.18
Dasariraji et al., 2020 [9]	Random forest	Random forest	92.99%	91.23%	95.41
Loey et al., 2020 [11]	CNN	FC	99.04	99.64%	98.44
The proposed method	CNN (AlexNet) + SVM	SVM	99.30%	99.45%	99