Kari-Anne Frikstad Valen

Aug 19, 2024 | biorxiv.org | Ruoyu Wang |Vilde Eide Skingen |Gozde Gunesli |Kari-Anne Frikstad Valen

AbstractDespite efforts in human papillomavirus (HPV) prevention and screening, cervical cancer remains the fourth most prevalent cancer among women globally. In this study, we propose an end-to-end deep learning framework to investigate histological correlates of the two consensus molecular subtypes (CMS) of HPV-positive cervical squamous cell carcinoma (CSCC) patients.