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The MedGIFT Group at ImageCLEF 2009 [chapter]

Xin Zhou, Ivan Eggel, Henning Müller
2010 Lecture Notes in Computer Science  
Since 2004, the medGIFT group has participated in the ImageCLEF benchmark each year, focusing mainly on the medical imaging tasks.  ...  To improve the retrieval performance, automatic query expansion was used. In total, 13 runs were submitted as well for the image-based topics and the case-based topics.  ...  Acknowledgments This study was partially supported by the Swiss National Science Foundation (Grant 200020-118638/1), the HES SO with the BeMeVIS project, and the European Union in the 6th Framework Program  ... 
doi:10.1007/978-3-642-15751-6_25 fatcat:lvr5cnbfhvcgpb3owkv4wpr3t4

The MedGIFT Group at ImageCLEF 2008 [chapter]

Xin Zhou, Julien Gobeill, Henning Müller
2009 Lecture Notes in Computer Science  
GIFT can be seen as a baseline for the visual retrieval as it has been used for the past five years in ImageCLEF.  ...  This article describes the participation of the MedGIFT research group at the 2008 ImageCLEFmed image retrieval benchmark. We concentrated on the two tasks concerning medical imaging.  ...  Acknowledgments This study was partially supported by the Swiss National Science Foundation (Grant 200020-118638/1), the HES SO with the BeMeVIS project, and the European Union in the 6th Framework Program  ... 
doi:10.1007/978-3-642-04447-2_90 fatcat:i7uuiuo335fqhnx5tjdjafzcce

The ImageCLEFmed Medical Image Retrieval Task Test Collection

William Hersh, Henning Müller, Jayashree Kalpathy-Cramer
2008 Journal of digital imaging  
The goal of the ImageCLEF medical image retrieval task (Image-CLEFmed) is to improve understanding and system capability in search for medical images.  ...  In this paper, we describe the development and use of a medical image test collection designed to facilitate research with image retrieval systems and their users.  ...  Instructions for obtaining the data described in this paper can be obtained from the ImageCLEFmed Website (http://ir.ohsu. edu/image/).  ... 
doi:10.1007/s10278-008-9154-8 pmid:18769965 pmcid:PMC3043731 fatcat:msdjjtocxffopbydj7bbwdgwja

ITI's Participation in the 2013 Medical Track of ImageCLEF

Matthew S. Simpson, Daekeun You, Md. Mahmudur Rahman, Dina Demner-Fushman, Sameer K. Antani, George R. Thoma
2013 Conference and Labs of the Evaluation Forum  
This article describes the participation of the Image and Text Integration (ITI) group in the ImageCLEF medical retrieval, classification, and segmentation tasks.  ...  In particular, our best ad-hoc retrieval submission was again ranked first among all the submissions from the participating groups.  ...  We would like to thank Suchet Chandra for preparing our collection and extracting the textual and visual features used by our methods.  ... 
dblp:conf/clef/SimpsonYRDAT13 fatcat:qkkvzihmu5hy3afeamdnyw7634

Multimodal Medical Image Retrieval: Improving Precision at ImageCLEF 2009

Saïd Radhouani, Jayashree Kalpathy-Cramer, Steven Bedrick, Brian Bakke, William R. Hersh
2009 Conference and Labs of the Evaluation Forum  
This year, we focused on improving retrieval performance, especially early precision, in the task of solving medical multimodal queries.  ...  We present results from Oregon Health & Science University's participation in the medical retrieval task of ImageCLEF 2009.  ...  Acknowledgements We acknowledge the support of NLM Training Grant 2T15LM007088, NSF Grant ITR-0325160, and the Swiss National Science Foundation grant PBGE22-121204.  ... 
dblp:conf/clef/RadhouaniKBBH09a fatcat:v4lnfuc5ijfn5cesmivzbqyt2e

DEMIR at ImageCLEFMed 2011: Evaluation of Fusion Techniques for Multimodal Content-based Medical Image Retrieval

Adil Alpkocak, Okan Ozturkmenoglu, Tolga Berber, Ali Hosseinzadeh Vahid, Roghaiyeh Gachpaz Hamed
2011 Conference and Labs of the Evaluation Forum  
We tested multi-modality image retrieval in ImageCLEF 2011 medical retrieval task and obtained the best seven ranks in mixed retrieval, which includes textual and visual modalities.  ...  This paper present the details of participation of DEMIR (Dokuz Eylul University Multimedia Information Retrieval) research team to the context of our participation to the ImageCLEF 2011 Medical Retrieval  ...  Experimentations We submitted 10 runs to ImageCLEF Medical Retrieval task, in three different categories.  ... 
dblp:conf/clef/AlpkocakOBVH11 fatcat:y2ny27frjfbqrlphupraahd6ja

Performance Measures Used in Image Information Retrieval [chapter]

Mark Sanderson
2010 ImageCLEF  
Research that both compares the measures and attempts to determine the best is also outlined. Finally, the use of measures in the different tracks and years of ImageCLEF is tabulated.  ...  Therefore, in this chapter, the range of measures used in the evaluation exercise is described.  ...  Relevant Non-relevant Retrieved a b a+b Not retrieved c d c+d a+c b+d a+b+c+d Table 5 . 5 2: Use of the measures in the years and tasks of ImageCLEF (Photo -photo retrieval; Med R -medical  ... 
doi:10.1007/978-3-642-15181-1_5 fatcat:bzpz72qkafe2jlnqzajnj7lquu

Overview of the CLEF 2009 Medical Image Retrieval Track [chapter]

Henning Müller, Jayashree Kalpathy–Cramer, Ivan Eggel, Steven Bedrick, Saïd Radhouani, Brian Bakke, Charles E. Kahn, William Hersh
2010 Lecture Notes in Computer Science  
2009 was the sixth year for the ImageCLEF medical retrieval task.  ...  Medical image retrieval, image retrieval, multimodal retrieval 1 http://www.imageclef.org/ 2 http://www.clef-campaign.org/  ...  Acknowledgements We would like to thank the CLEF campaign for supporting the ImageCLEF initiative.  ... 
doi:10.1007/978-3-642-15751-6_8 fatcat:abrmk3557nbbdhams4trskydl4

NovaSearch on Medical ImageCLEF 2013

André Mourão, Flávio Martins, João Magalhães
2013 Conference and Labs of the Evaluation Forum  
This article presents the participation of the Center of Informatics and Information Technology group CITI in medical ImageCLEF 2013.  ...  This is our first participation and we submitted runs on the modality classification task, the ad-hoc image retrieval task and case retrieval task.  ...  Introduction ImageCLEF 2013 AMIA: Medical task is the CLEF benchmark focused on the retrieval and classification of medical images and articles from PubMed.  ... 
dblp:conf/clef/MouraoMM13 fatcat:useafr2hebgk7jmobaoselpfku

Multimodal Medical Image Retrieval OHSU at ImageCLEF 2008 [chapter]

Jayashree Kalpathy-Cramer, Steven Bedrick, William Hatt, William Hersh
2009 Lecture Notes in Computer Science  
We present results from Oregon Health & Science University's participation in the medical image retrieval task of ImageCLEF 2008.  ...  Consequently, many of our multimodal automatic runs using the custom parser as well as interactive runs had high early precision.  ...  Acknowledgments We acknowledge the support of NLM Training Grant 1T15 LM009461 and NSF Grant ITR-0325160.  ... 
doi:10.1007/978-3-642-04447-2_96 fatcat:4coo7p2rlbf7nadwdngrnnirry

Overview of the ImageCLEF 2007 Medical Retrieval and Annotation Tasks

Henning Müller, Thomas Deselaers, Eugene Kim, Jayashree Kalpathy-Cramer, Thomas Martin Deserno, William R. Hersh
2007 Conference and Labs of the Evaluation Forum  
This paper describes the medical image retrieval and medical image annotation tasks of ImageCLEF 2007.  ...  A total of 13 groups participated in the medical retrieval task and 10 in the medical annotation task. The medical retrieval task added two news data sets for a total of over 66'000 images.  ...  Acknowledgements We would like to thank the CLEF campaign for supporting the ImageCLEF initiative.  ... 
dblp:conf/clef/MullerDKKDH07 fatcat:oreoudpz5rdvblof5clv6wnfpm

Evaluation axes for medical image retrieval systems

Henning Müller, Paul Clough, William Hersh, Thomas Deselaers, Thomas Lehmann, Antoine Geissbuhler
2005 Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05  
Content-based image retrieval in the medical domain is an extremely hot topic in medical imaging as it promises to help better managing the large amount of medical images being produced.  ...  Applications are mainly expected in the field of medical teaching files and for research projects, where performance issues and speed are less critical than in the field of diagnostic aid.  ...  We also acknowledge the support of National Science Foundation (NSF) grant ITR-0325160. The establishment of the IRMA database was funded by the German DFG with grant Le 1108/4.  ... 
doi:10.1145/1101149.1101358 dblp:conf/mm/MullerCHDLG05 fatcat:7vlmcfv7pbgezkan7it57uk5za

Overview of the ImageCLEFmed 2008 Medical Image Retrieval Task [chapter]

Henning Müller, Jayashree Kalpathy-Cramer, Charles E. Kahn, William Hatt, Steven Bedrick, William Hersh
2009 Lecture Notes in Computer Science  
2008 was the fifth year for the medical image retrieval task of ImageCLEF, one of the most popular tracks within CLEF. Participation continued to increase in 2008.  ...  The best MAP scores were very similar for textual and multi-modal approaches, whereas early precision performance was clearly better for the multi-modal approaches.  ...  Acknowledgements We would like to thank the CLEF campaign for supporting the ImageCLEF initiative.  ... 
doi:10.1007/978-3-642-04447-2_63 fatcat:pvscaefj2nfphmo735elon7fa4

Medical case retrieval

Mario Taschwer
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
Moreover, the potential of further improvement by leveraging relevance feedback of medical expert users for long-term learning will be investigated.  ...  Designing an automatic multimodal MCR system applicable to general medical data sets still presents an open research problem, as indicated by the ImageCLEF 2013 MCR challenge, where the best submitted  ...  We participated in the ImageCLEF 2013 MCR task using a simple text retrieval approach utilizing MeSH terms for query and document expansion [29] .  ... 
doi:10.1145/2647868.2654856 dblp:conf/mm/Taschwer14 fatcat:5j5lfzz3jbbzxbcuw6opdkedn4

The medGIFT Group in ImageCLEFmed 2011

Dimitrios Markonis, Ivan Eggel, Alba Garcia Seco de Herrera, Henning Müller
2011 Conference and Labs of the Evaluation Forum  
This article presents the participation of the medGIFT group in ImageCLEFmed 2011. Since 2004, the group has participated in the medical image retrieval tasks of ImageCLEF each year.  ...  The main goal is to provide a baseline by using the same technology each year, and to search for further improvements in retrieval quality.  ...  The research leading to these results has received funding from the European Union's Seventh Framework Programme under grant agreement 257528 (KHRES-MOI), 249008 (Chorus+) and 258191 (Promise).  ... 
dblp:conf/clef/MarkonisEHM11 fatcat:sh5iabgk4bhthmfvayupvzpdxy
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