Integrative multi-stage deep learning framework for ovarian tumor ultrasound classification with explainability and confidence estimation
EfficientOvaNet increases diagnostic accuracy and reduces subjectivity in ultrasound-based ovarian tumor classification. By improving interpretability and credibility, the framework has the potential to support timely intervention and individualized treatment, which may improve survival rates in the management of ovarian cancer.
Authors
- Ahmad Almadhor (ORCID: https://orcid.org/0000-0002-8665-1669)
- Abdullah Al Hejaili (ORCID: https://orcid.org/0000-0002-8388-4723)
- Shtwai Alsubai
Institutions
- Prince Sattam Bin Abdulaziz University (SA)
- Jouf University (SA)
- University of Tabuk (SA)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-02-24
- DOI
- https://doi.org/10.3389/fmed.2025.1760167
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Prince Sattam bin Abdulaziz University