Multifactorial estimation of clinical outcome in HPV-associated oropharyngeal squamous cell carcinoma via automated image analysis of routine diagnostic H&E slides and neural network modelling.

Jonas Hue,Zaneta Valinciute,Selvam Thavaraj,Lorenzo Veschini

Oral oncology（2023）

引用 2|浏览2

暂无评分

摘要

Our open-source H&E analysis workflow and predictive models confirm previously reported prognostic features and identifies novel factors which predict HPV + OpSCC outcomes with promising accuracy. Our work supports the use of machine learning in digital pathology to exploit clinically relevant features in routine diagnostic pathology without additional biomarkers.

查看译文

关键词

Human papillomavirus, Oropharyngeal squamous cell carcinoma, Oropharyngeal cancer, Oral and maxillofacial pathology, Head and neck cancer, Computer-assisted image analysis, Machine learning, Neural network models, Tumor microenvironment, Single-cell analysis

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要