Deep learning for predicting prognostic consensus molecular subtypes in cervical cancer from histology images

Deep learning for predicting prognostic consensus molecular subtypes in cervical cancer from histology images

Abstract Cervical cancer remains the fourth most common cancer among women worldwide. This study proposes an end-to-end deep learning framework to predict consensus molecular subtypes (CMS) in HPV-positive cervical squamous cell carcinoma (CSCC) from H&E-stained histology slides. Analysing three...

Full description

Saved in:
Bibliographic Details
Main Authors: Ruoyu Wang, Gozde N. Gunesli, Vilde Eide Skingen, Kari-Anne Frikstad Valen, Heidi Lyng, Lawrence S. Young, Nasir Rajpoot
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-024-00778-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items