Computational Intelligence and Healthcare Informatics - Группа авторов

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- - COVID-19–induced pneumonia
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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