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In this paper we present the strategies that were designed and applied by the Institute of Biomedical Engineering and Technology (BMET) team to the liver image annotation task of ImageCLEF 2014. This was the first year this challenge was held and as such our strategies form the basis for future exploration in this area. The major challenge of the liver(More)
INTRODUCTION The objective of this article was to report a case of isolated, acute, right-sided sphenoid sinusitis that progressed to contralateral cavernous sinus thrombosis in an 18-year-old male patient. We describe the atypical presentation of this case and discuss the relevant anatomy, pathogenesis, presentation, diagnostic evaluation and treatment. (More)
The automatic annotation of medical images is a prerequisite for building comprehensive semantic archives that can be used to enhance evidence-based diagnosis, physician education, and biomedical research. Annotation also has important applications in the automatic generation of structured radiology reports. Much of the prior research work has focused on(More)
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