TY - GEN
T1 - Retrieving similar cases from the medical literature - The ImageCLEF experience
AU - Kalpathy-Cramer, Jayashree
AU - Bedrick, Steven
AU - Radhouani, Saïd
AU - Hersh, William
AU - Eggel, Ivan
AU - Kahn, Charles E.
AU - Müller, Henning
PY - 2010
Y1 - 2010
N2 - An increasing number of clinicians, researchers, educators and patients routinely search for relevant medical images using search engines on the internet as well as in image archives and PACS systems. However, image retrieval is far less understood and developed compared to text-based searching. The ImageCLEF medical image retrieval task is an international challenge evaluation that enables researchers to assess and compare techniques for medical image retrieval using test collections. In this paper, we describe the development of the ImageCLEF medical image test collection, consisting of a database of images and their associated annotations, as well as a set of realistic search topics and relevance judgments obtained using a set of experts. 2009 was the sixth year for the ImageCLEF medical retrieval task and had strong participation from research groups across the globe. We will provide results from this year's evaluation and discuss the successes that we have had as well as challenges going forward.
AB - An increasing number of clinicians, researchers, educators and patients routinely search for relevant medical images using search engines on the internet as well as in image archives and PACS systems. However, image retrieval is far less understood and developed compared to text-based searching. The ImageCLEF medical image retrieval task is an international challenge evaluation that enables researchers to assess and compare techniques for medical image retrieval using test collections. In this paper, we describe the development of the ImageCLEF medical image test collection, consisting of a database of images and their associated annotations, as well as a set of realistic search topics and relevance judgments obtained using a set of experts. 2009 was the sixth year for the ImageCLEF medical retrieval task and had strong participation from research groups across the globe. We will provide results from this year's evaluation and discuss the successes that we have had as well as challenges going forward.
KW - Content analysis and indexing
KW - Image retrieval
KW - Information storage and retrieval
KW - Systems and software
UR - http://www.scopus.com/inward/record.url?scp=78649493791&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649493791&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-588-4-1189
DO - 10.3233/978-1-60750-588-4-1189
M3 - Conference contribution
C2 - 20841872
AN - SCOPUS:78649493791
SN - 9781607505877
T3 - Studies in Health Technology and Informatics
SP - 1189
EP - 1193
BT - Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
PB - IOS Press
T2 - 13th World Congress on Medical and Health Informatics, Medinfo 2010
Y2 - 12 September 2010 through 15 September 2010
ER -