Using Grids to Resolve Clinicians' Queries Across a Large-Scale Mammogram Database

Title: Using Grids to Resolve Clinicians' Queries Across a Large-Scale Mammogram Database

Abstract: This research aimed to develop a Grid-enabled system that could resolve clinicians' queries across a large-scale mammogram database. The system, called the MammoGrid Information Infrastructure, was designed to federate multiple mammogram databases and provide an efficient way for clinicians to analyze and compare mammograms from different centers. The main goal was to enable clinicians to develop new collaborative and cooperative approaches to mammogram analysis, which would improve the quality and efficiency of breast cancer screening.

Research Question: How can Grids be used to resolve clinicians' queries across a large-scale mammogram database?

Methodology: The study used a combination of software development and database management techniques. The researchers designed and implemented the MammoGrid Information Infrastructure, which was built on top of a Grid computing framework. The system was designed to handle large volumes of mammogram data and to enable clinicians to perform complex queries across the database. The system also included standardization software to enable the comparison of images from different patients and centers, and image analysis algorithms to provide quantitative information.

Results: The research demonstrated that the MammoGrid Information Infrastructure was successful in resolving clinicians' queries across the large-scale mammogram database. The system was able to handle complex queries and provide useful information for clinicians. The researchers also found that the system was able to improve the quality and efficiency of breast cancer screening by enabling clinicians to collaborate and share information more effectively.

Implications: The research has important implications for the field of medical imaging and breast cancer screening. It shows that Grids can be used to develop powerful and efficient systems for managing large-scale medical databases. The research also suggests that the use of Grids can improve the quality and efficiency of healthcare delivery by enabling clinicians to work together more effectively and to share information more easily.

Link to Article: https://arxiv.org/abs/0402009v1 Authors: arXiv ID: 0402009v1