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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/  ...  We would like to thank the RSNA for supplying the images of their journals Radiology and Radiographics for the ImageCLEF campaign.  ... 
doi:10.1007/978-3-642-15751-6_8 fatcat:abrmk3557nbbdhams4trskydl4

An Overview of Evaluation Campaigns in Multimedia Retrieval [chapter]

Suzanne Little, Ainhoa Llorente, Stefan Rüger
2010 ImageCLEF  
for starting ImageCLEF and then a summary of the tracks run over the seven years (data, tasks and participants).  ...  This chapter sets the scene for the book by describing the purpose of system and user-centred evaluation, the purpose of test collections, the role of evaluation campaigns such as TREC and CLEF, our motivations  ...  Finally a huge thank you goes to Carol Peters, the co-ordinator of CLEF, who supported ImageCLEF from the very beginning and through seven years of activities.  ... 
doi:10.1007/978-3-642-15181-1_27 fatcat:nnglqvlfw5a6fceju5vrwyswim

Seven Years of Image Retrieval Evaluation [chapter]

Paul Clough, Henning Müller, Mark Sanderson
2010 ImageCLEF  
for starting ImageCLEF and then a summary of the tracks run over the seven years (data, tasks and participants).  ...  This chapter sets the scene for the book by describing the purpose of system and user-centred evaluation, the purpose of test collections, the role of evaluation campaigns such as TREC and CLEF, our motivations  ...  Finally a huge thank you goes to Carol Peters, the co-ordinator of CLEF, who supported ImageCLEF from the very beginning and through seven years of activities.  ... 
doi:10.1007/978-3-642-15181-1_1 fatcat:yuvmyscbufg5lclr36z4pughm4

The Scholarly Impact of CLEF (2000–2009) [chapter]

Theodora Tsikrika, Birger Larsen, Henning Müller, Stefan Endrullis, Erhard Rahm
2013 Lecture Notes in Computer Science  
This paper assesses the scholarly impact of the CLEF evaluation campaign by performing a bibliometric analysis of the citations of the CLEF 2000-2009 proceedings publications collected through Scopus and  ...  Retrieval Evaluation (http://www.isical.ac.in/ ~clia/) 6 TREC Video Retrieval Evaluation (http://trecvid.nist.gov/) 7 CLEF Image Retrieval Evaluation (http://www.imageclef.org/)  ...  This work was partially supported by the ELIAS ESF Research Networking Programme, and by the Promise (258191) and Khresmoi (257528) FP7 projects.  ... 
doi:10.1007/978-3-642-40802-1_1 fatcat:533ffulnnbcedphg33kgobcney

CLEF 2010 conference on multilingual and multimodal information access evaluation

Maristella Agosti, Martin Braschler, Khalid Choukri, Nicola Ferro, Donna Harman, Carol Peters, Emanuele Pianta, Maarten de Rijke, Alan Smeaton
2011 SIGIR Forum  
Since 2000, Cross-Language Evaluation Forum (CLEF) has played a leading role in stimulating research into a wide range of key areas in the information retrieval domain, including cross-language question  ...  answering, image and video search, and interactive retrieval.  ...  CLEF-IP '10, sponsored by the Information Retrieval Facility (IRF) in Vienna was a follow-on of a CLEF 2009 track.  ... 
doi:10.1145/1924475.1924477 fatcat:qx42pcur3venfa2vpzmef4m5u4

CLEF 15th Birthday

Nicola Ferro
2014 SIGIR Forum  
This paper provides a summary of the motivations which led to the establishment of CLEF, and a description of how it has evolved over the years, the major achievements, and what we see as the next challenges  ...  2014 marks the 15 th birthday for CLEF, an evaluation campaign activity which has applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal information access systems in Europe  ...  Acknowledgements CLEF would not be possible without all the effort, enthusiasm, and passion of its community: lab organizers, lab participants, and attendees are the core and the real success of CLEF.  ... 
doi:10.1145/2701583.2701587 fatcat:exd4r3qlznhqhm77efsyof5gee

UB at ImageCLEFmed 2006 [chapter]

Miguel E. Ruiz
2007 Lecture Notes in Computer Science  
The parameters for retrieval feedback and for the linear combination of the generalized vector space model were tuned using queries for the 2008 CLEF medical image retrieval task (imageCLEFmed).  ...  For this year our team participated in the medical image retrieval task.  ...  Our research for the CLEF medical image retrieval track consisted in evaluating the contribution of automatically generated UMLS terms and its impact in retrieval performance of images with caption or  ... 
doi:10.1007/978-3-540-74999-8_87 fatcat:tnmctq5dcbhktegzd2bdmsjvo4

Analysis of biomedical and health queries: Lessons learned from TREC and CLEF evaluation benchmarks

Lynda Tamine, Cécile Chouquet, Thomas Palmer
2015 Journal of the Association for Information Science and Technology  
In this paper, we explore the peculiarities of TREC and CLEF medically oriented tasks and queries through the ⋆ Text REtrieval Conference . 2 analysis of the differences and the similarities between queries  ...  One of the core issues in medical information retrieval is diversity of tasks that lead to diversity of categories of information needs and queries.  ...  Medical image-CLEF task : In 2004, CLEF organizers launched the Medical image-CLEF task (Muller et al., 2008) which focuses on the use of multimodal information (text and image) in the medical domain  ... 
doi:10.1002/asi.23351 fatcat:odvg52zbnrhili7ikkopf3rbaa

Evaluating performance of biomedical image retrieval systems—An overview of the medical image retrieval task at ImageCLEF 2004–2013

Jayashree Kalpathy-Cramer, Alba García Seco de Herrera, Dina Demner-Fushman, Sameer Antani, Steven Bedrick, Henning Müller
2015 Computerized Medical Imaging and Graphics  
Medical(image(retrieval(and(classification(have(been(extremely(active(research(topics(over( the( past( 15( years.( With( the( ImageCLEF( benchmark( in( medical( image( retrieval( and( classification( a  ...  (The(goals(of(CLEF(are(to(build(realistic( test( collections( that( simulate( real( world( retrieval( tasks,( enable( researchers( to( assess( the( performance( of( their( systems,( and( compare( their  ...  (techniques.( ( Figure*3*Total*runs*submitted*for*the*medical*task* ( Overview*of*participant*methods( Textual!  ... 
doi:10.1016/j.compmedimag.2014.03.004 pmid:24746250 pmcid:PMC4177510 fatcat:xuck5guwojexviqczz4keargjm

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

Tatiana Tommasi, Barbara Caputo, Petra Welter, Mark Oliver Güld, Thomas M. Deserno
2010 Lecture Notes in Computer Science  
This paper describe the last round of the medical image annotation task in ImageCLEF 2009. After four years, we defined the task as a survey of all the past experience.  ...  The aim is to understand how each strategy answers to the increasing number of classes and to the unbalancing.  ...  Acknowledgements We would like to thank the CLEF campaign for supporting the ImageCLEF initiative.  ... 
doi:10.1007/978-3-642-15751-6_9 fatcat:iewz5mraxbdahmgaropmenr2hi

MIRACLE at ImageCLEFmed 2008: Semantic vs. Statistical Strategies for Topic Expansion [chapter]

Sara Lana-Serrano, Julio Villena-Román, José Carlos González-Cristóbal
2009 Lecture Notes in Computer Science  
This paper describes the participation of MIRACLE research consortium at the ImageCLEFmed task of ImageCLEF 2009.  ...  The main purpose of our experiments was to determine if any improvement of the linguistic expansion modules that were developed for the previous CLEF campaign, in terms of precision and recall, was possible  ...  Acknowledgements This work has been partially supported by the Spanish R+D National Plan, by means of the project BRAVO (Multilingual and Multimodal Answers Advanced Search -Information Retrieval), TIN2007  ... 
doi:10.1007/978-3-642-04447-2_91 fatcat:2ekrffsasvhb3ixnsrftvo7cam

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 most significant change in 2008 was the use of a new database containing images from the medical literature.  ...  The images for the 2008 ImageCLEFmed challenge were contributed by the Radiological Society of North America (RSNA).  ... 
doi:10.1007/978-3-642-04447-2_63 fatcat:pvscaefj2nfphmo735elon7fa4

Superpixel-Based Interest Points for Effective Bags of Visual Words Medical Image Retrieval [chapter]

Sebastian Haas, René Donner, Andreas Burner, Markus Holzer, Georg Langs
2012 Lecture Notes in Computer Science  
The Image-CLEF 2009 data set of 14.400 radiographs is used in a categorization setting and the results compare favorable to more specialized methods.  ...  The present work introduces a 2D medical image retrieval system which employs interest points derived from superpixels in a bags of visual words (BVW) framework.  ...  The research leading to these results has received funding from the Austrian Sciences Fund (P 22578-B19, PULMARCH) and the EU-funded KHRESMOI project (FP7-ICT-2009-5/257528).  ... 
doi:10.1007/978-3-642-28460-1_6 fatcat:qt6s3rch3zf3ti4tzrqxr7e4ei

Natural language processing versus content-based image analysis for medical document retrieval

Aurélie Névéol, Thomas M. Deserno, Stéfan J. Darmoni, Mark Oliver Güld, Alan R. Aronson
2009 Journal of the American Society for Information Science and Technology  
The performance of text-based and image-based access, as well as combined document features, is compared. Image analysis proves more adequate for both the indexing and retrieval of the images.  ...  The evaluation consists of an indexing task and a retrieval task based on the "gold standard" codes manually assigned to corpus documents.  ...  The authors would like to thank Jean-Nicolas Dasher for his insight in creating the imaging-angle dictionary for text analysis, Filip Florea for supplying the corpus data used in this work, and Bastian  ... 
doi:10.1002/asi.20955 pmid:19633735 pmcid:PMC2714909 fatcat:3riwtj6n6zc6xk32szlsk5zkaq

Effectiveness of global features for automatic medical image classification and retrieval – The experiences of OHSU at ImageCLEFmed

Jayashree Kalpathy-Cramer, William Hersh
2008 Pattern Recognition Letters  
The goal of the automatic annotation task was to classify 1000 test images based on the Image Retrieval in Medical Applications (IRMA) code, given a set of 10,000 training images.  ...  of the Cross Language Evaluation Forum (CLEF).  ...  Acknowledgments We acknowledge the support of NLM Training Grant 1T15 LM009461 and NSF Grant ITR-0325160. Kalpathy-Cramer and Hersh  ... 
doi:10.1016/j.patrec.2008.05.013 pmid:19884953 pmcid:PMC2598732 fatcat:v2my5yhr2nbcdc2radrbw2jota
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