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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis.
- Source :
-
Medical image analysis [Med Image Anal] 2022 Jul; Vol. 79, pp. 102470. Date of Electronic Publication: 2022 May 04. - Publication Year :
- 2022
-
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.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
- Subjects :
- Humans
Artificial Intelligence
Deep Learning
Subjects
Details
- Language :
- English
- ISSN :
- 1361-8423
- Volume :
- 79
- Database :
- MEDLINE
- Journal :
- Medical image analysis
- Publication Type :
- Academic Journal
- Accession number :
- 35576821
- Full Text :
- https://doi.org/10.1016/j.media.2022.102470