"A framework for falsifiable explanations of machine learning models with ..."

David Schuhmacher et al. (2022)

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DOI: 10.1016/J.MEDIA.2022.102594

access: open

type: Journal Article

metadata version: 2024-06-08

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  - https://dblp.org/rec/journals/mia/SchuhmacherSKGS22
David Schuhmacher, Stephanie Schörner, Claus Küpper, Frederik Großerüschkamp, Carlo Sternemann, Celine Lugnier, Anna-Lena Kraeft, Hendrik Jütte, Andrea Tannapfel, Anke Reinacher-Schick, Klaus Gerwert, Axel Mosig:
A framework for falsifiable explanations of machine learning models with an application in computational pathology. Medical Image Anal. 82: 102594 (2022)

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