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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Improving Early Precision in the ImageCLEF Medical Retrieval Task
verfasst von : Steven Bedrick, Saïd Radhouani, Jayashree Kalpathy–Cramer
Erschienen in: ImageCLEF
Verlag: Springer Berlin Heidelberg
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Oregon Health and Science University has participated in the ImageCLEFmed medical image retrieval task since 2005. Over the years of our participation, our focus has been on exploring the needs of medical end users, and developing retrieval strategies that address those needs. Given that many users of search systems never look beyond the first few results, we have attempted to emphasize early precision in the performance of our system. This chapter describes several of the approaches we have used to achieve this goal, along with the results we have seen in doing so.