Table 7.

Comparison of DBN with other algorithms.

References	Method	Accuracy (%)
Khan et al. (28)	Mask R-CNN and 24-layered CNN	86.5
Pacheco and Krohling (24)	CNN fusion segmentation network and 30-layered CNN	87.02
Srinivasu et al. (15)	MobileNetV2, LSTM	90.21
Afza et al. (29)	Three-step superpixel segmentation and ResNet50, Naïve Bayes classifier	85.50
Wang et al. (30)	G-DMN	87.07
Ours	DBN	91.58