UNIGE document Scientific Article
previous document  unige:20535  next document
add to browser collection

A web service for enabling medical image retrieval integrated into a social medical image sharing platform

de la Vega, Enrique
Cabrer, Miguel
Published in Studies in Health Technology and Informatics. 2010, vol. 160, no. Pt 2, p. 1273-1276
Abstract Content-based visual image access is in the process from a research domain towards real applications. So far, most image retrieval applications have been in one specialized domain such as lung CTs as diagnosis aid or for classification of general images based on anatomic region, modality, and view. This article describes the use of a content-based image retrieval system in connection with the medical image sharing platform MEDTING, so a data set with a very large variety. Similarity retrieval is possible for all cases of the social image sharing platform, so cases can be linked by either visual similarity or similarity in keywords. The visual retrieval search is based on the GIFT (GNU Image Finding Tool). The technology for updating the index with new images added by users employs RSS (Really Simple Syndication) feeds. The ARC (Advanced Resource Connector) middleware is used for the implementation of a web service for similarity retrieval, simplifying the integration of this service. Novelty of this article is the application/integration and image updating strategy. Retrieval methods themselves employ existing techniques that are all open source and can easily be reproduced.
Keywords Diagnostic Imaging/*methodsInformation Storage and Retrieval/*methods*InternetRadiology Information SystemsUser-Computer Interface
PMID: 20841889
Full text
(ISO format)
NIINIMAKI, Markopekka et al. A web service for enabling medical image retrieval integrated into a social medical image sharing platform. In: Studies in health technology and informatics, 2010, vol. 160, n° Pt 2, p. 1273-1276. doi: 10.3233/978-1-60750-588-4-1273 https://archive-ouverte.unige.ch/unige:20535

435 hits



Deposited on : 2012-05-22

Export document
Format :
Citation style :