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. 2020 Nov 27;51(5):2864–2889. doi: 10.1007/s10489-020-02010-w

Table 7.

Accuracy Comparison of proposed work with other researchers work

Methods Features Model Classes Data Samples Performance
Xu et al. [7] Automated ResNet 2 618 86.7%
Wang et al. [8] Automated Inception model 2 453 89.5%
Apostolopoulos et al. [41] Automated MobileNet 3 1427 96.78 (train data accuracy)
Ali Narin et al. [42] Automated ResNet-50 2 20 98% (test data- average accuracy)
Proposed System Automated Se-ResNeXt-50 2,3,4 6674 98.36%, 96.99%, 96.40% (test data- average accuracy)