Paper Info
Title
Cloud Computing Service for Managing Large Medical Image Data-Sets Using Balanced Collaborative Agents
Abstract
Managing large medical image collections is an increasingly demanding important issue in many hospitals and other medical settings. A huge amount of this information is daily generated, which requires robust and agile systems. In this paper we present a distributed multi-agent system capable of managing very large medical image datasets. In this approach, agents extract low-level information from images and store them in a data structure implemented in a relational database. The data structure can also store semantic information 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 possibility of applying some region-based operations and filters on images, facilitating image classification. These operations can be performed directly on data structures in the database.
Year
DOI
Venue
2011
10.1007/978-3-642-19875-5_34
ADVANCES ON PRACTICAL APPLICATIONS OF AGENTS AND MULTI-AGENT SYSTEMS
Keywords
Field
DocType
relational database,image classification,cloud computing,data structure,data access,multi agent system
Data mining,Data structure,Data set,Relational database,Computer science,Agile software development,Semantic information,Contextual image classification,Cloud computing
Conference
Volume
ISSN
Citations 
88
1867-5662
1
PageRank 
References 
Authors
0.38
6
6
Name
Order
Citations
PageRank
Raúl Alonso-Calvo110714.64
José Crespo212624.90
Victor Maojo333353.22
Alberto Muñoz410.38
Miguel García-Remesal512813.75
david perezrey613520.28