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. 2022 Feb 11;34(3):101898. doi: 10.1016/j.jksus.2022.101898

Table 7.

Performance analysis alongside similar DLM techniques (N.R = Not reported)

Method Remarks Performance
Accuracy (%) Specificity (%) Sensitivity (%) Testing time (s)
(Jain et al., 2020) 2 class 76.0 81.1 61.5 N.R
(Marques et al., 2020) 2 class 98.1 N.R N.R N.R
3 class 87.0 N.R N.R N.R
(Ucar and Korkmaz, 2019) ResNet 99.5 100 99.0 N.R
Xception 99.0 98.0 100 N.R
(Zabirul et al., 2020) 3 class 98.9 98.9 98.6 N.R
(Sedik et al., 2020) 2 class 99.6 N.R N.R N.R
3 class 98.7 N.R N.R N.R
(Altan and Karasu, 2020) 3 class 98.3 99.1 99.2 N.R
(Pathak et al., 2020) 3 class 99.4 99.3 98.7 113.0
(Das et al., 2020) 2 class CNN 99.0 100 98.6 2.6
ConvLSTM 96.0 100 99.0 5.2
Proposed 2 class CNN 99.2 100 100 2.5
ConvLSTM 98.0 97.0 99.0 7.3
3 class CNN 98.2 99.2 97.2 5.7
ConvLSTM 96.8 99.6 94 4.3