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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

📅 May 4, 2022 👤 Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs et al. 📖 Medical Image Analysis 📊 1,193 citations

🤖 Plain-English Summary

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.

🔑 Key Findings

  • 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.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

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

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