Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Publication date
2022-07
Authors
Van der Velden, B.
Kuijf, Hugo J.
Gilhuijs, Kenneth
Viergever, Max
Editors
Advisors
Supervisors
Document Type
Article
Metadata
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License
cc_by
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.
Keywords
Artificial Intelligence, Deep Learning, Humans, Deep learning, Survey, Medical image analysis, Explainable artificial intelligence, Interpretable deep learning, Radiological and Ultrasound Technology, Health Informatics, Radiology Nuclear Medicine and imaging, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Review, Journal Article
Citation
van der Velden, B H M, Kuijf, H J, Gilhuijs, K G A & Viergever, M A 2022, 'Explainable artificial intelligence (XAI) in deep learning-based medical image analysis', Medical Image Analysis, vol. 79, 102470, pp. 1-21. https://doi.org/10.1016/j.media.2022.102470