Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis.
- DOI
- 10.1016/j.media.2023.103042
- Published
- 2024 Jan
- Container
- Medical image analysis
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.media.2023.103042,
title = {Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis.},
author = {Marcinkevičs R and Reis Wolfertstetter P and Klimiene U and Chin-Cheong K and Paschke A and Zerres J and Denzinger M and Niederberger D and Wellmann S and Ozkan E and Knorr C and Vogt JE},
year = {2024},
journal = {Medical image analysis},
doi = {10.1016/j.media.2023.103042},
url = {https://doi.org/10.1016/j.media.2023.103042}
}RIS
TY - JOUR TI - Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis. AU - Marcinkevičs R AU - Reis Wolfertstetter P AU - Klimiene U AU - Chin-Cheong K AU - Paschke A AU - Zerres J AU - Denzinger M AU - Niederberger D AU - Wellmann S AU - Ozkan E AU - Knorr C AU - Vogt JE PY - 2024 JO - Medical image analysis DO - 10.1016/j.media.2023.103042 UR - https://doi.org/10.1016/j.media.2023.103042 ER -
APA
R, M., P, R. W., U, K., K, C., A, P., J, Z., M, D., D, N., S, W., E, O., C, K., & JE, V. (2024). Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis.. Medical image analysis. https://doi.org/10.1016/j.media.2023.103042
Source records
- pubmed · retrieved 2026-09-25T21:48:02.078Z