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. 2022 Mar 21;145:105418. doi: 10.1016/j.compbiomed.2022.105418

Table 5.

Result Comparison of Proposed CNN with Transfer learning models with 3 classes.

Model Accuracy Precision Sensitivity F-score Specificity AUC
VGG16 89.85% 91.41% 97.87% 95.51% 92.42% 55.41%
AlexNet 89.85% 91.41% 94.53% 95.51% 92.42% 57.37%
InceptionV3 84.20% 91.32% 96.24% 94.18% 90.79% 59.16%
Proposed CNN 89.85% 91.41% 98.32% 95.51% 94.60% 55.41%