A systematic review on the use of explainability in deep learning systems for computer aided diagnosis in radiology: Limited use of explainable AI?
- DOI
- 10.1016/j.ejrad.2022.110592
- Published
- 2022-12
- Container
- European Journal of Radiology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ejrad.2022.110592,
title = {A systematic review on the use of explainability in deep learning systems for computer aided diagnosis in radiology: Limited use of explainable AI?},
author = {Arjan M. Groen and Rik Kraan and Shahira F. Amirkhan and Joost G. Daams and Mario Maas},
year = {2022},
journal = {European Journal of Radiology},
doi = {10.1016/j.ejrad.2022.110592},
url = {https://doi.org/10.1016/j.ejrad.2022.110592}
}RIS
TY - JOUR TI - A systematic review on the use of explainability in deep learning systems for computer aided diagnosis in radiology: Limited use of explainable AI? AU - Arjan M. Groen AU - Rik Kraan AU - Shahira F. Amirkhan AU - Joost G. Daams AU - Mario Maas PY - 2022 JO - European Journal of Radiology DO - 10.1016/j.ejrad.2022.110592 UR - https://doi.org/10.1016/j.ejrad.2022.110592 ER -
APA
Groen, A. M., Kraan, R., Amirkhan, S. F., Daams, J. G., & Maas, M. (2022). A systematic review on the use of explainability in deep learning systems for computer aided diagnosis in radiology: Limited use of explainable AI?. European Journal of Radiology. https://doi.org/10.1016/j.ejrad.2022.110592
Source records
- crossref · retrieved 2026-09-25T12:25:21.323Z