Verena Bitto

2 weeks ago | biorxiv.org | Verena Bitto |Xiaofeng Jiang |Michael Baumann |Jakob Nikolas Kather

AbstractComputational pathology-based models are becoming increasingly popular for extracting biomarkers from images of cancer tissue. However, their validity is often only demonstrated on a single unseen validation cohort, limiting insights into their generalizability and posing challenges for explainability. In this study, we developed models to predict overall survival using haematoxylin and eosin (H&E) slides from FFPE samples in head and neck squamous cell carcinoma (HNSCC).