Deep learning-based prediction of homologous recombination deficiency from histopathological whole-slide images in ovarian cancer.
- DOI
- 10.1016/j.ijgc.2026.104717
- Published
- 2026 Jul
- Container
- International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
- Publisher
- Not recorded
- Open access
- unknown
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BibTeX
@article{allodium:10.1016/j.ijgc.2026.104717,
title = {Deep learning-based prediction of homologous recombination deficiency from histopathological whole-slide images in ovarian cancer.},
author = {Frenel JS and Heudel PE and Guinaudeau E and Bossard C and Lindahl G and Rynkiewicz J and Salhi S and Salhi Y and Chetritt J and Pujade-Lauraine E and Ray-Coquard I},
year = {2026},
journal = {International journal of gynecological cancer : official journal of the International Gynecological Cancer Society},
doi = {10.1016/j.ijgc.2026.104717},
url = {https://doi.org/10.1016/j.ijgc.2026.104717}
}RIS
TY - JOUR TI - Deep learning-based prediction of homologous recombination deficiency from histopathological whole-slide images in ovarian cancer. AU - Frenel JS AU - Heudel PE AU - Guinaudeau E AU - Bossard C AU - Lindahl G AU - Rynkiewicz J AU - Salhi S AU - Salhi Y AU - Chetritt J AU - Pujade-Lauraine E AU - Ray-Coquard I PY - 2026 JO - International journal of gynecological cancer : official journal of the International Gynecological Cancer Society DO - 10.1016/j.ijgc.2026.104717 UR - https://doi.org/10.1016/j.ijgc.2026.104717 ER -
APA
JS, F., PE, H., E, G., C, B., G, L., J, R., S, S., Y, S., J, C., E, P., & I, R. (2026). Deep learning-based prediction of homologous recombination deficiency from histopathological whole-slide images in ovarian cancer.. International journal of gynecological cancer : official journal of the International Gynecological Cancer Society. https://doi.org/10.1016/j.ijgc.2026.104717
Source records
- pubmed · retrieved 2026-09-26T01:46:41.497Z