Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.
- DOI
- 10.1002/cam4.7163
- Published
- 2024 Apr
- Container
- Cancer medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/cam4.7163,
title = {Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.},
author = {Abrego L and Zaikin A and Marino IP and Krivonosov MI and Jacobs I and Menon U and Gentry-Maharaj A and Blyuss O},
year = {2024},
journal = {Cancer medicine},
doi = {10.1002/cam4.7163},
url = {https://doi.org/10.1002/cam4.7163}
}RIS
TY - JOUR TI - Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers. AU - Abrego L AU - Zaikin A AU - Marino IP AU - Krivonosov MI AU - Jacobs I AU - Menon U AU - Gentry-Maharaj A AU - Blyuss O PY - 2024 JO - Cancer medicine DO - 10.1002/cam4.7163 UR - https://doi.org/10.1002/cam4.7163 ER -
APA
L, A., A, Z., IP, M., MI, K., I, J., U, M., A, G., & O, B. (2024). Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.. Cancer medicine. https://doi.org/10.1002/cam4.7163
Source records
- pubmed · retrieved 2026-09-26T15:45:37.687Z