Paper accepted at the Explainable Agency in Artificial Intelligence Workshop AAAI-21

Our paper on the “Evaluation and Comparison of CNN Visual Explanations for Histopathology” by Mara Graziani, Thomas Lompech, Henning Müller and Vincent Andrearczyk has been accepted for presentation at the AAAI-21 Workshop on Explainable Agency in Artificial Intelligence.

In this work, we evaluate the alignment of XAI visualisations to cancer diagnostic procedures for breast tissue. Do the visualizations highlight specific nuclei types? Visual explanations may induce confirmation bias about CNN decisions.

IOU with nuclei types
Quantification of CNN attention on the nuclei types (+ link to the GitHub repository)