Paper accepted in Computers in Biology and Medicine

Our new paper entitled “Concept attribution: Explaining CNN decisions to physicians” by Mara Graziani, Vincent Andrearczyk, Stephane Marchand-Maillet and Henning Müller has been accepted for publication in Computers in Biology and Medicine.

Feature attribution techniques explain Convolution Neural Networks (CNNs) in terms of the input pixels. The abstraction to higher level impacting factors, however, can be difficult when only a pixel-based analysis is performed. In this paper, we generate explanations in terms of prognostic factors for breast cancer, such as nuclei pleomorphism.