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. 2023 May 8;13(9):1654. doi: 10.3390/diagnostics13091654

Table 5.

Generalization of FFNN performance according to combined features between CNN models and handcrafted features on a new ADNI dataset.

Systems Classes of ADNI
Dataset
Accuracy % Sensitivity % AUC % Precision % Specificity %
FFNN with features of GoogLeNet and handcrafted AD 88.2 88.2 89.2 85.7 97.7
CN 98.3 98.1 93.2 95 96.4
EMCI 87.5 87.7 93.9 95.5 98.6
LMCI 71.4 71.2 87.6 83.3 99
MCI 91.5 90.9 92.1 89.6 97.9
Average ratio 92.3 87.22 91.2 89.82 97.92
FFNN with features of Dense-Net-121 and handcrafted AD 94.1 94.2 95.1 82.1 96.9
CN 95.7 96.1 97.2 98.2 99.2
EMCI 95.8 95.8 96.1 95.8 98.7
LMCI 78.6 79.4 88.4 73.3 98.1
MCI 89.4 88.9 94.9 95.5 99.2
Average ratio 93.4 90.88 94.34 88.98 98.42