Computational Intelligence and Healthcare Informatics. Группа авторов

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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 - - - - - - ResNet50 0.707 0.814 0.736 0.613 0.561 0.716 0.63 0.789 - - - - - - [41] 0.762 0.883 0.816 0.679 0.801 0.729 0.709 0.838 0.744 0.841 0.884 0.800 0.754 0.876 [49] 0.862 0.831 0.901 0.721 0.909 0.894 0.851 0.944 0.893 0.924 0.704 0.806 0.798 0.851 [13] - 0.875 0.962 - - - - 0.861 0.850 0.868 - - - -

Table 2.4 Comparison of DL models on the basis of different performance metrics.

Ref.	Model	Accuracy	F1-Score	Specificity Скачать книгу В начало < 18 19 20 21 22 23 24 25 26 27 > В конец e-mail: [email protected]