Improving Retrieval Using External Annotations: OHSU at ImageCLEF 2010
نویسندگان
چکیده
Over the past several years, our team has focused its efforts on improving retrieval precision performance by mixing visual and textual information. This year, we chose to explore ways in which we could use external data to enrich our retrieval system’s data set; specifically, we annotated each image in the test collection with a set of MeSH headings from two different sources: human-assigned MEDLINE
منابع مشابه
Multimodal Medical Image Retrieval: OHSU at ImageCLEF 2008
We present results from Oregon Health & Science University’s participation in the medical image retrieval task of ImageCLEF 2008. We created a web-based retrieval system built on a full-text index of the annotations using a Ruby on Rails framework. The text-based search engine was implemented in Ruby using Ferret, a port of Lucene. In addition to this textual index of annotations, supervised ma...
متن کاملMedical Image Retrieval and Automated Annotation: OHSU at ImageCLEF 2006
Oregon Health & Science University participated in both the medical retrieval and medical annotation tasks of ImageCLEF 2006. Our efforts in the retrieval task focused on manual modification of query statements and fusion of results from textual and visual retrieval techniques. Our results showed that manual modification of queries does improve retrieval performance, while data fusion of textua...
متن کاملMedical Image Retrieval and Automatic Annotation: OHSU at ImageCLEF 2007
Oregon Health & Science University participated in the medical retrieval and medical annotation tasks of ImageCLEF 2007. In the medical retrieval task, we created a web-based retrieval system built on a full-text index of both image and case annotations. The text-based search engine was implemented in Ruby using Ferret, a port of Lucene and a custom query parser. In addition to this textual ind...
متن کاملDUTH at ImageCLEF 2011 Wikipedia Retrieval
As digital information is increasingly becoming multimodal, the days of single-language text-only retrieval are numbered. Take as an example Wikipedia where a single topic may be covered in several languages and include non-textual media such as image, audio, and video. Moreover, non-textual media may be annotated with text in several languages in a variety of metadata fields such as object cap...
متن کاملThe ImageCLEF Medical Retrieval Task at ICPR 2010 - Information Fusion to Combine Visual and Textual Information
An increasing number of clinicians, researchers, educators and patients routinely search for medical information on the Internet as well as in image archives. However, image retrieval is far less understood and developed than text–based search. The ImageCLEF medical image retrieval task is an international benchmark that enables researchers to assess and compare techniques for medical image ret...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010