| Literature DB >> 35576821 |
Bas H M van der Velden1, Hugo J Kuijf2, Kenneth G A Gilhuijs2, Max A Viergever2.
Abstract
With an increase in deep learning-based methods, the call for explainability of such methods grows, especially in high-stakes decision making areas such as medical image analysis. This survey presents an overview of explainable artificial intelligence (XAI) used in deep learning-based medical image analysis. A framework of XAI criteria is introduced to classify deep learning-based medical image analysis methods. Papers on XAI techniques in medical image analysis are then surveyed and categorized according to the framework and according to anatomical location. The paper concludes with an outlook of future opportunities for XAI in medical image analysis.Entities:
Keywords: Deep learning; Explainable artificial intelligence; Interpretable deep learning; Medical image analysis; Survey
Mesh:
Year: 2022 PMID: 35576821 DOI: 10.1016/j.media.2022.102470
Source DB: PubMed Journal: Med Image Anal ISSN: 1361-8415 Impact factor: 8.545