Sunday, November 28 | 12:30 p.m.-1:00 p.m. | LL-INS-SU2A | Lakeside Learning Center
In this poster presentation, researchers from Stanford University in Stanford, CA, will describe how their biomedical image metadata manager (BIMM) can retrieve similar images via semantic features.
BIMM was developed to manage biomedical image data, link them to images, and facilitate the retrieval of similar images using semantic feature metadata that describe imaging observation characteristics, according to the researchers.
As a result, radiologists, researchers, and students can take advantage of medical image data repositories by linking images to their associated metadata in a relational database, accessible via a Web application, according to presenter Daniel Korenblum.
Potential applications for BIMM include computer-aided detection (CAD), content-based image retrieval, automated medical analysis protocols, and gathering population statistics such as prevalence of diseases, he said.
