This study aims to develop and validate an integrated AI-powered system for liver cancer that includes intelligent tumor boundary detection, micro-metastasis prediction, staging, treatment decision-making, and surgical planning. The system builds upon prior 3D reconstructions of liver, vessels, and bile ducts. In a retrospective multi-center, self-controlled, fully crossed multi-reader multi-case clinical trial, the researchers will compare diagnostic accuracy, staging, and planning performance between AI-assisted reads and conventional reads using CT images and pathological gold standards.