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

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 is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 This survey presents an overview of explainable artificial intelligence (XAI) used in deep learning-based medical image analysis.
• 2 A framework of XAI criteria is introduced to classify deep learning-based medical image analysis methods.
• 3 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.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: