Leveraging deep learning for prognostic stratification of hepatocellular carcinoma using histopathological images

Background

Hepatocellular carcinoma (HCC) is one of the most common and lethal malignancies, whose prognostic prediction is particularly challenging. Histopathological biomarkers are critical for cancer prognosis assessment. Advancements in artificial intelligence (AI) have made it possible to automate the classification and detection of information from whole-slide pathology images using deep learning. This study aims to utilize AI deep learning to analyze histopathological slides of HCC patients for prognostic stratification, thereby assisting in the development of clinical treatment plans.