OcrV1, Main, Exploration, bibRecord, 000B37

Yale Image Finder (YIF): a new search engine for retrieving biomedical images

Identifieur interne : 000B37 ( Main/Exploration ); précédent : 000B36; suivant : 000B38

Yale Image Finder (YIF): a new search engine for retrieving biomedical images

Auteurs : Songhua Xu [États-Unis] ; James Mccusker [États-Unis] ; Michael Krauthammer [États-Unis]

Source :

Bioinformatics [ 1367-4803 ] ; 2008-09-01.

RBID : ISTEX:82C4F44B8BA709DF9CA4F2BBE0AED51B711BB221

Abstract

Summary: Yale Image Finder (YIF) is a publicly accessible search engine featuring a new way of retrieving biomedical images and associated papers based on the text carried inside the images. Image queries can also be issued against the image caption, as well as words in the associated paper abstract and title. A typical search scenario using YIF is as follows: a user provides few search keywords and the most relevant images are returned and presented in the form of thumbnails. Users can click on the image of interest to retrieve the high resolution image. In addition, the search engine will provide two types of related images: those that appear in the same paper, and those from other papers with similar image content. Retrieved images link back to their source papers, allowing users to find related papers starting with an image of interest. Currently, YIF has indexed over 140 000 images from over 34 000 open access biomedical journal papers. Availability: http://krauthammerlab.med.yale.edu/imagefinder/ Contact: michael.krauthammer@yale.edu

Url:

DOI: 10.1093/bioinformatics/btn340

Affiliations:

Le document en format XML

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<front><div type="abstract">Summary: Yale Image Finder (YIF) is a publicly accessible search engine featuring a new way of retrieving biomedical images and associated papers based on the text carried inside the images. Image queries can also be issued against the image caption, as well as words in the associated paper abstract and title. A typical search scenario using YIF is as follows: a user provides few search keywords and the most relevant images are returned and presented in the form of thumbnails. Users can click on the image of interest to retrieve the high resolution image. In addition, the search engine will provide two types of related images: those that appear in the same paper, and those from other papers with similar image content. Retrieved images link back to their source papers, allowing users to find related papers starting with an image of interest. Currently, YIF has indexed over 140 000 images from over 34 000 open access biomedical journal papers. Availability: http://krauthammerlab.med.yale.edu/imagefinder/ Contact: michael.krauthammer@yale.edu</div>
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Yale Image Finder (YIF): a new search engine for retrieving biomedical images

Yale Image Finder (YIF): a new search engine for retrieving biomedical images

Source :

Abstract

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Le document en format XML

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