Ontology-Based Medical Image Annotation with Description Logics
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Taverna: lessons in creating a workflow environment for the life sciences: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Twin support vector machines and subspace learning methods for microcalcification clusters detection
Engineering Applications of Artificial Intelligence
A fuzzy rule-based approach for characterization of mammogram masses into BI-RADS shape categories
Computers in Biology and Medicine
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The Digital Database for Screening Mammography (DDSM) is an invaluable resource for digital mammography research. However, there are two particular shortcomings that can pose a significant barrier to many of those who may want to use the resource: 1) the actual mammographic image data is encoded using a non-standard lossless variant of the JPEG image format; 2) although detailed metadata is provided, it is not in a form that permits it to be searched, manipulated or reasoned over by standard tools. This paper describes web services that will allow both humans and computers to query for, and obtain, mammograms from the DDSM in a standard and well-supported image file format. Further, this paper describes how these and other services can be used within grid-based workflows, allowing digital mammography researchers to make use of distributed computing facilities.