Evaluation

  • The AI method classifies the sample, whereas the XAI methods mark areas that were relevant to the AIs decision, therefore the XAI provides the explanation for the AI classification.
  • The upper left panel visualizes the Gleason Scoring AI classification.
  • The upper right panel visualizes the plain sample.
  • The lower left panel visualizes the selected XAI method using a Gleason Score heatmap. Thus, the heatmap of the XAI method is visualized for each class individually class.
  • The lower right field visualizes the selected XAI method using a Jet heatmap. That means the heatmap is created across all classes.
  • (more on the tutorial/wiki page)

Which of the XAI methods helps best to explains the decision? Please create a ranking by dragging the labels from left to right. The one on top should be your favorite.
Saliency Map
Grad-CAM
Integrated Gradients
Guided Backpropagation
Grad-CAM++

For this section you might want to check out the different XAI presets.
With the buttons below, you are able to set them again, without needing to open the specific evaluation Sections