Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Utrecht University · University Medical Center Utrecht
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.
Citation impact
- FWCI
- 141.78
- Percentile
- 100%
- References
- 425
Authors
4- BHBas H. M. van der VeldenCorresponding
Utrecht University, University Medical Center Utrecht
- HJHugo J. Kuijf
Utrecht University, University Medical Center Utrecht
- KGKenneth G. A. Gilhuijs
Utrecht University, University Medical Center Utrecht
- MAMax A. Viergever
Utrecht University, University Medical Center Utrecht
Topics & keywords
- Artificial intelligence
- Computer science
- Deep learning
- Image (mathematics)
- Machine learning
- Pattern recognition (psychology)
- Peace, Justice and strong institutions