Storage and Parallel Loading System Based on Mode Network for Multimode Medical Image Data

Since Multimode data is composed of many modes and their complex relationships, it cannot be retrieved or mined effectively by utilizing traditional analysis and processing techniques for single mode data. To address the challenges, we design and implement a graph-based storage and parallel loading system aimed at multimode medical image data. The system is a framework designed to flexibly store and rapidly load these multimode data. Specifically, the system utilizes the Mode Network to model the modes and their relationships in multimode medical image data and the graph database to store the data with a parallel loading technique.