Skip to main content
. 2023 Jul 19;13:11664. doi: 10.1038/s41598-023-38240-4

Table 2.

Performance comparison on the ADNI and AIBL dataset.

Methods AD versus NC (ADNI) pMCI versus sMCI (ADNI) AD versus NC (AIBL)
ACC AUROC ACC AUROC ACC AUROC
3D CNN (WF: 1)13 0.799±0.037 0.881±0.034 0.689±0.028 0.702±0.015 0.795±0.029 0.884±0.017
3D CNN (WF: 2) 0.804±0.014 0.886±0.006 0.675±0.019 0.692±0.024 0.698±0.131 0.890±0.015
A3D-Net21 0.827±0.026 0.905±0.015 0.702±0.029 0.720±0.036 0.814±0.045 0.885±0.016
DA-MIDL52 0.735±0.040 0.809±0.037 0.657±0.023 0.581±0.019 0.832±0.030 0.846±0.025
HybNet22 0.832±0.046 0.908±0.022 0.702±0.014 0.676±0.028 0.866±0.054 0.892±0.043
BrainBagNet-9 0.737±0.013 0.809±0.029 0.643±0.031 0.716±0.041 0.781±0.018 0.846±0.012
FG-BrainBagNet-9 0.747±0.011 0.830±0.021 0.643±0.033 0.716±0.047 0.774±0.027 0.843±0.024
PG-BrainBagNet-9 0.869±0.028 0.938±0.025 0.715±0.023 0.773±0.009 0.859±0.014 0.928±0.006
BrainBagNet-17 0.753±0.025 0.826±0.022 0.655±0.026 0.716±0.024 0.782±0.038 0.858±0.018
FG-BrainBagNet-17 0.828±0.024 0.893±0.022 0.679±0.013 0.757±0.008 0.807±0.029 0.876±0.013
PG-BrainBagNet-17 0.878±0.027 0.940±0.017 0.697±0.005 0.763±0.010 0.832±0.035 0.921±0.009
BrainBagNet-25 0.823±0.017 0.891±0.020 0.675±0.046 0.727±0.032 0.767±0.045 0.869±0.029
FG-BrainBagNet-25 0.845±0.025 0.909±0.019 0.689±0.013 0.748±0.013 0.801±0.050 0.900±0.016
PG-BrainBagNet-25 0.872±0.025 0.939±0.011 0.691±0.028 0.753±0.031 0.822±0.045 0.927±0.011
BrainBagNet-41 0.865±0.043 0.929±0.034 0.691±0.009 0.751±0.026 0.840±0.036 0.911±0.013
FG-BrainBagNet-41 0.875±0.030 0.920±0.029 0.687±0.018 0.747±0.016 0.799±0.017 0.914±0.010
PG-BrainBagNet-41 0.883±0.013 0.940±0.012 0.695±0.044 0.755±0.048 0.827±0.026 0.922±0.014
BrainBagNet-57 0.860±0.053 0.914±0.031 0.683±0.029 0.749±0.041 0.819±0.013 0.906±0.015
FG-BrainBagNet-57 0.850±0.020 0.927±0.023 0.701±0.019 0.764±0.017 0.836±0.020 0.920±0.006
PG-BrainBagNet-57 0.862±0.026 0.937±0.020 0.681±0.021 0.755±0.015 0.841±0.012 0.923±0.009