Development of novel deep multimodal representation learning-based model for the differentiation of liver tumors on B-mode ultrasound images.

Integration of patient background and blood biomarkers in addition to US image using multimodal representation learning outperformed the CNN model using US images. We expect that the deep multimodal representation model could be a feasible and acceptable tool for the definitive diagnosis of liver tumors using B-mode US.