The performance of the diagnostic system on the Guangzhou cohort. (A) A comparison of the ROC curves for CNN models that detect liver masses using original US images and liver images. (B) A comparison of the ROC curves for four AI models using different combinations of clinical factors and US images for classifying benign versus malignant masses. C-model: a ML model using only clinical factors; L-Net: a deep learning diagnostic model using liver images; LM-Net: a deep learning diagnostic model using a combination of liver images and mass segmentation information; LMC-Net: a deep learning diagnostic model using a combination of liver images, mass segmentation information and clinical factors. (C) AUC values of the CNN model trained with different numbers of liver images for liver mass detection and (D) AUC values of the LMC-Net model trained with different numbers of liver images for liver malignancy diagnosis.