A new pivoting and iterative text detection algorithm for biomedical images
Journal of Biomedical Informatics
Using MeSH to expand queries in medical image retrieval
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Automatic figure classification in bioscience literature
Journal of Biomedical Informatics
Functional requirements for information resource provenance on the web
IPAW'12 Proceedings of the 4th international conference on Provenance and Annotation of Data and Processes
Figure Based Biomedical Document Retrieval System using Structural Image Features
International Journal of Knowledge Discovery in Bioinformatics
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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