Cloud Computing Service for Managing Large Medical Image Data-Sets Using Balanced Collaborative Agents

Managing large medical image coltections is an increasingiy demanding important issue in many hospitals and other medica) settings. A huge amount of this informaüon is daily generated, which requires robust and agüe systems. In this paper we present a distributed multi-agent system capable of managing very large medical image dataseis. In this approach, agents extract low-Ievel informaüon from ímages and store them in a data structure impiemented in a relational datábase. The data structure can also store semantic información related to images and particular regions. A distinctive aspect of our work is that a single image can be divided so that the resultant sub-images can be stored and managed separately by different agents to improve performance in data accessing and processing. The system also offers the possibüity of applying some region-based operations and filters on images, facilitating image classification. These operations can be performed directly on data structures in the datábase.