Don’t PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer’s Disease

Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Alzheimer’s disease (AD) has a complex and multifactorial etiology, which requires integrating information about neuroanatomy, genetics, and cerebrospinal fluid biomarkers for accurate diagnosis. Hence, recent deep learning approaches combined image and tabular information to improve diagnostic performance. However, the black-box nature of such neural networks is still a barrier for clinical applications, in which understanding the decision of a heterogeneous model is integral. We propose PANIC, a prototypical additive neural network for interpretable AD classification that integrates 3D image and tabular data. It is interpretable by design and, thus, avoids the need for post-hoc explanations that try to approximate the decision of a network. Our results demonstrate that PANIC achieves state-of-the-art performance in AD classification, while directly providing local and global explanations. Finally, we show that PANIC extracts biologically meaningful signatures of AD, and satisfies a set of desirable desiderata for trustworthy machine learning. Our implementation is available at https://github.com/ai-med/PANIC.

Original languageEnglish
Title of host publicationInformation Processing in Medical Imaging - 28th International Conference, IPMI 2023, Proceedings
EditorsAlejandro Frangi, Marleen de Bruijne, Demian Wassermann, Nassir Navab
PublisherSpringer Science and Business Media Deutschland GmbH
Pages82-94
Number of pages13
ISBN (Print)9783031340475
DOIs
StatePublished - 2023
Event28th International Conference on Information Processing in Medical Imaging, IPMI 2023 - San Carlos de Bariloche, Argentina
Duration: 18 Jun 202323 Jun 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13939 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference28th International Conference on Information Processing in Medical Imaging, IPMI 2023
Country/TerritoryArgentina
CitySan Carlos de Bariloche
Period18/06/2323/06/23

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