Computational Intelligence and Healthcare Informatics. Группа авторов
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Table 2.3 Comparison of models on the basis of AUC score for 14 chest pathologies.
Ref. | Atel | Card | Effu | Infi | Mass | Nodu | Pne1 | Pnet | Cons | Edem | Emph | Fibr | PT | Hern |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[10] | 0.784 | 0.888 | 0.831 | 0.705 | 0.838 | 0.796 | 0.727 | 0.876 | 0.746 | 0.852 | 0.942 | 0.837 | 0.796 | 0.912 |
[23] | 0.795 | 0.887 | 0.875 | 0.703 | 0.835 | 0.716 | 0.742 | 0.863 | 0.786 | 0.892 | 0.875 | 0.756 | 0.774 | 0.836 |
[70] | 0.716 | 0.807 | 0.784 | 0.609 | 0.706 | 0.671 | 0.633 | 0.806 | 0.708 | 0.835 | 0.815 | 0.769 | 0.708 | 0.767 |
[69] | 0.743 | 0.875 | 0.811 | 0.677 | 0.783 | 0.698 | 0.696 | 0.81 | 0.723 | 0.833 | 0.822 | 0.804 | 0.751 | 0.899 |
[8] | - | 0.940 | - | - | - | - | - | - | - | - | - | - | - | - |
[47] | 0.909 | 0.910 | 0.964 | - | - | - | - | - | 0.957 | 0.958 | - | - | - | - |
[26] | 0.794 | 0902 | 0.839 | 0.714 | 0.827 | 0.727 | 0.703 | 0.848 | 0.773 | 0.834 | 0.911 | 0.824 | 0.752 | 0.916 |
[20] | 0.853 | 0.939 | 0.903 | 0.754 | 0.902 | 0.828 | 0.774 | 0.921 | 0.842 | 0.924 | 0.932 | 0.964 | 0.837 | 0.921 |
[74] AlexNet | 0.645 | 0.692 | 0.664 | 0.604 | 0.564 | 0.648 | 0.549 | 0.742 | - | - | - | - | - | - |
GoogleNet | 0.631 | 0.706 | 0.688 | 0.609 | 0.536 | 0.558 | 0.599 | 0.782 | - | - | - | - | - | - |
VGGNet-16 | 0.628 | 0.708 | 0.650 | 0.589 | 0.510 | 0.656 | 0.510 | 0.751 | - | - |
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