Recommending images of user interests from the biomedical literature

Steven Clukey; Songhua Xu

doi:10.1117/12.2008144

29 March 2013 Recommending images of user interests from the biomedical literature

Steven Clukey, Songhua Xu

Proceedings Volume 8674, Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 86740G (2013) https://doi.org/10.1117/12.2008144
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Every year hundreds of thousands of biomedical images are published in journals and conferences. Consequently, finding images relevant to one's interests becomes an ever daunting task. This vast amount of literature creates a need for intelligent and easy-to-use tools that can help researchers effectively navigate through the content corpus and conveniently locate materials of their interests. Traditionally, literature search tools allow users to query content using topic keywords. However, manual query composition is often time and energy consuming. A better system would be one that can automatically deliver relevant content to a researcher without having the end user manually manifest one's search intent and interests via search queries. Such a computer-aided assistance for information access can be provided by a system that first determines a researcher's interests automatically and then recommends images relevant to the person's interests accordingly. The technology can greatly improve a researcher's ability to stay up to date in their fields of study by allowing them to efficiently browse images and documents matching their needs and interests among the vast amount of the biomedical literature. A prototype system implementation of the technology can be accessed via http://www.smartdataware.com.

Citation Download Citation

Steven Clukey and Songhua Xu "Recommending images of user interests from the biomedical literature", Proc. SPIE 8674, Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 86740G (29 March 2013); https://doi.org/10.1117/12.2008144

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KEYWORDS

Biomedical optics

Image processing

Prototyping

Computing systems

Databases

Image quality

Internet

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