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

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Fig. 20 — Confusion matrix for ResNet-50, ResNeXt-50 and Se-ResNeXt-50 model for all four categories of datasets: Binary class (a) ResNet-50 and (b) ResNeXt-50 & Se-ResNeXt-50), Multi-class1 (c) ResNet-50 and (d) ResNeXt-50 & Se-ResNeXt-50), Multi-class2 (e) ResNet-50 and (f) ResNeXt-50 & Se-ResNeXt-50), Multi-class3 (g) ResNet-50, (h) ResNeXt-50 and (i) Se-ResNeXt-50)

Fig. 20 — Confusion matrix for ResNet-50, ResNeXt-50 and Se-ResNeXt-50 model for all four categories of datasets: Binary class (a) ResNet-50 and (b) ResNeXt-50 & Se-ResNeXt-50), Multi-class1 (c) ResNet-50 and (d) ResNeXt-50 & Se-ResNeXt-50), Multi-class2 (e) ResNet-50 and (f) ResNeXt-50 & Se-ResNeXt-50), Multi-class3 (g) ResNet-50, (h) ResNeXt-50 and (i) Se-ResNeXt-50)