Deep neural architecture empowered by explainable artificial intelligence for accurate and early diagnosis of gynaecological cancer using medical images.
- DOI
- 10.1038/s41598-026-57070-8
- Published
- 2026 Jun 11
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-57070-8,
title = {Deep neural architecture empowered by explainable artificial intelligence for accurate and early diagnosis of gynaecological cancer using medical images.},
author = {Al-Somali SA and AlKubaisy ZM and Rawa M and Allehaibi KH and Alhazmi RM and Ragab M},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-57070-8},
url = {https://doi.org/10.1038/s41598-026-57070-8}
}RIS
TY - JOUR TI - Deep neural architecture empowered by explainable artificial intelligence for accurate and early diagnosis of gynaecological cancer using medical images. AU - Al-Somali SA AU - AlKubaisy ZM AU - Rawa M AU - Allehaibi KH AU - Alhazmi RM AU - Ragab M PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-57070-8 UR - https://doi.org/10.1038/s41598-026-57070-8 ER -
APA
SA, A., ZM, A., M, R., KH, A., RM, A., & M, R. (2026). Deep neural architecture empowered by explainable artificial intelligence for accurate and early diagnosis of gynaecological cancer using medical images.. Scientific reports. https://doi.org/10.1038/s41598-026-57070-8
Source records
- pubmed · retrieved 2026-09-26T03:31:15.307Z