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

被引：0

作者：

van der Velden, Bas H.M. ^{[1
]}

Kuijf, Hugo J. ^{[1
]}

Gilhuijs, Kenneth G.A. ^{[1
]}

Viergever, Max A. ^{[1
]}

机构：

[1] Image Sciences Institute, University Medical Center Utrecht, Q.02.4.45, P.O. Box 85500, GA, Utrecht,3508, Netherlands

来源：

Medical Image Analysis | 2022年 / 79卷

关键词：

Deep learning - Medical imaging - Decision making - Image analysis;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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. © 2022 The Authors

引用

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