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Beilstein J. Nanotechnol. 2021, 12, 878–901, doi:10.3762/bjnano.12.66
Figure 1: Linear decision boundary (green straight line) that separates between samples belonging to two diff...
Figure 2: Performance as function of sample data set size for traditional machine learning algorithms and dee...
Figure 3: Upper left: example of a deep neural network (DNN). Upper right: example of a shallow neural networ...
Figure 4: (a) Description of the convolutional layer of a CNN and (b) the convolution operation. In (b) the o...
Figure 5: Loss function as a function of the number of epochs for the training set (blue line) and the testin...
Figure 6: Predictions of the probability for a healthy cytoskeleton made by the model on testing set and trea...
Figure 7: Example of images of healthy (top) and diseased (bottom) Pf-EV exposed cells from the test set and ...
Figure 8: Average intensity for all images in the testing set and the images of treated cytoskeleton for (a) ...
Figure 9: Class activation maps shown below the AFM images for selected images of healthy and Pf-EV-exposed c...
Figure 10: Class activation maps shown below the AFM images for selected images of healthy and Pf-EV-exposed c...