- Published
- 2022-05-04
- Venue
- Medical Image Analysis, vol. 79, pp. 102470
- Cited by
- 1,316
- Open access
- Yes, hybrid
- DOI
- 10.1016/j.media.2022.102470
- PubMed
- 35576821
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.
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Velden, B. H. M. V. D., Kuijf, H. J., Gilhuijs, K. G. A., & Viergever, M. A. (2022). Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Medical Image Analysis, 79, 102470. https://doi.org/10.1016/j.media.2022.102470
- MLA 9
Velden, Bas H. M. van der, et al. "Explainable artificial intelligence (XAI) in deep learning-based medical image analysis." Medical Image Analysis, vol. 79, 2022, pp. 102470, https://doi.org/10.1016/j.media.2022.102470.
- Chicago
Velden, Bas H. M. van der, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, and Max A. Viergever. "Explainable artificial intelligence (XAI) in deep learning-based medical image analysis." Medical Image Analysis 79 (2022): 102470. https://doi.org/10.1016/j.media.2022.102470.
- GOST
Velden B. H. M. V. D., Kuijf H. J., Gilhuijs K. G. A. [и др.] Explainable artificial intelligence (XAI) in deep learning-based medical image analysis // Medical Image Analysis. — 2022. — Vol. 79. — P. 102470. — URL: https://doi.org/10.1016/j.media.2022.102470
- BibTeX
@article{velden2022explainable, title = {{Explainable artificial intelligence (XAI) in deep learning-based medical image analysis}}, author = {Bas H. M. van der Velden and Hugo J. Kuijf and Kenneth G. A. Gilhuijs and Max A. Viergever}, journal = {Medical Image Analysis}, year = {2022}, volume = {79}, pages = {102470}, doi = {10.1016/j.media.2022.102470}, url = {https://doi.org/10.1016/j.media.2022.102470} }- RIS
TY - JOUR AU - Velden, Bas H. M. van der AU - Kuijf, Hugo J. AU - Gilhuijs, Kenneth G. A. AU - Viergever, Max A. TI - Explainable artificial intelligence (XAI) in deep learning-based medical image analysis JO - Medical Image Analysis VL - 79 SP - 102470 PY - 2022 DA - 2022/05/04 DO - 10.1016/j.media.2022.102470 UR - https://doi.org/10.1016/j.media.2022.102470 ER -
Ask Claude about this paper
Add Find Research to Claude or ChatGPT and ask in plain language. The assistant reads this record, finds the papers around it and cites only what it actually found:
- “Summarize doi:10.1016/j.media.2022.102470 and list its main limitations.”
- “Find newer studies that test the same question, with free PDFs.”
- “Cite this and five related papers in APA for my literature review.”
Setup takes about a minute: add the connector, then start the free trial.
Record from OpenAlex; open-access location from Unpaywall and the indexes. Find Research links only to legal copies.