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. Papers on XAI techniques in medical image analysis are then surveyed and categorized according to the framework and according to anatomical location.
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | May 04, 2022 |
| Journal | Medical Image Analysis |
| Authors | Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever |
| DOI | 10.1016/j.media.2022.102470 |
| Citations | 1,193 |
| Source | OpenAlex |