Design of Liver Cancer Diagnosis System with Structured Database

The liver, the largest organ in the human abdomen, possesses a complex structure. Clinicians can diagnosis liver cancer by computed tomography (CT) images. Early detection and treatment of liver cancer are imperative to avoid significant complications. Unfortunately, traditional diagnostic techniques are time-consuming and heavily reliant on expert interpretation. Consequently, there is a pressing need for an automated and comprehensive system to replace conventional diagnostic methods. Also, there are numerous organizations that voluntarily share liver and liver tumor datasets all around the internet, and a central platform is required to combine various data sources, well organize the data, and enhance re-usability. There are a few studies on image intelligent diagnosis system and they all focus on liver tumor detection but omitted organizing the data well. In this research, we designed a liver cancer diagnosis system with structured database. And we have proposed a novel flow of data warehousing, data annotation and liver cancer diagnosis for computer-aided diagnosis.