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Medical Image Annotation in ImageCLEF 2008 [chapter]

Thomas Deselaers, Thomas M. Deserno
2009 Lecture Notes in Computer Science  
The ImageCLEF 2008 medical image annotation task is designed to assess the quality of content-based image retrieval and image classification by means of global signatures.  ...  In total, 12,076 images were used.  ...  Discussion and Conclusion We have presented the ImageCLEF 2008 medical image annotation task.  ... 
doi:10.1007/978-3-642-04447-2_64 fatcat:6ojjwpvtjbdslethw3jmaszwrq

Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion

Thomas Deselaers, Thomas M. Deserno, Henning Müller
2008 Pattern Recognition Letters  
In this paper, the automatic medical annotation task of the 2007 CLEF cross-language image retrieval campaign (ImageCLEF) is described.  ...  Since 2005, the medical automatic image annotation task exists in ImageCLEF with increasing complexity to evaluate the performance of state-of-the-art methods for completely automatic annotation of medical  ...  The coding scheme, which is used to represent image annotations, is described in Section 3. The dataset used for the medical image annotation task in ImageCLEF 2007 is described in Section 4.  ... 
doi:10.1016/j.patrec.2008.03.001 fatcat:zr6dsbf2rnf3bp32phfe7wwreu

An Overview of Evaluation Campaigns in Multimedia Retrieval [chapter]

Suzanne Little, Ainhoa Llorente, Stefan Rüger
2010 ImageCLEF  
In this chapter we discuss evaluation of Information Retrieval (IR) systems and in particular ImageCLEF, a large-scale evaluation campaign that has produced several publicly-accessible resources required  ...  The chapter will also provide an insight into lessons learned and experiences gained over the years spent organising ImageCLEF, and a summary of the main highlights.  ...  We thank the national and international funding bodies who have supported ImageCLEF over the years in a variety of ways.  ... 
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  
In this chapter we discuss evaluation of Information Retrieval (IR) systems and in particular ImageCLEF, a large-scale evaluation campaign that has produced several publicly-accessible resources required  ...  The chapter will also provide an insight into lessons learned and experiences gained over the years spent organising ImageCLEF, and a summary of the main highlights.  ...  We thank the national and international funding bodies who have supported ImageCLEF over the years in a variety of ways.  ... 
doi:10.1007/978-3-642-15181-1_1 fatcat:yuvmyscbufg5lclr36z4pughm4

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  ...  important(for(the(evaluation(to(be(close(to(real(world(in( its( size( and( scope.( The( ImageCLEF 1 (medical( retrieval( tasks( have( provided( such( an(  ...  and( for( entire( medical(cases.( In(2008,(Sedghi(et(al.  ... 
doi:10.1016/j.compmedimag.2014.03.004 pmid:24746250 pmcid:PMC4177510 fatcat:xuck5guwojexviqczz4keargjm

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

The MedGIFT Group at ImageCLEF 2008 [chapter]

Xin Zhou, Julien Gobeill, Henning Müller
2009 Lecture Notes in Computer Science  
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.  ...  GIFT can be seen as a baseline for the visual retrieval as it has been used for the past five years in ImageCLEF.  ...  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

Automatic Annotation of X-Ray Images: A Study on Attribute Selection [chapter]

Devrim Unay, Octavian Soldea, Ahmet Ekin, Mujdat Cetin, Aytul Ercil
2010 Lecture Notes in Computer Science  
Advances in the medical imaging technology has lead to an exponential growth in the number of digital images that need to be acquired, analyzed, classified, stored and retrieved in medical centers.  ...  As a result, medical image classification and retrieval has recently gained high interest in the scientific community.  ...  The ImageCLEF Medical Image Annotation task, run as part of the Cross-Language Evaluation Forum (CLEF) campaign, is a yearly held medical image annotation challenge for automatic classification of an X-Ray  ... 
doi:10.1007/978-3-642-11769-5_10 fatcat:6ncybzfquvehfojyy3ea7qzgm4

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.  ...  They were asked to train their algorithms on 12,677 images, labeled according to four different settings representing the yearly annotation tasks, and to classify 1,733 images in the four annotation frameworks  ...  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

ImageCLEF 2013: The Vision, the Data and the Open Challenges [chapter]

Barbara Caputo, Henning Muller, Bart Thomee, Mauricio Villegas, Roberto Paredes, David Zellhofer, Herve Goeau, Alexis Joly, Pierre Bonnet, Jesus Martinez Gomez, Ismael Garcia Varea, Miguel Cazorla
2013 Lecture Notes in Computer Science  
Since its first edition in 2003, ImageCLEF has become one of the key initiatives promoting the benchmark evaluation of algorithms for the cross-language annotation and retrieval of images in various domains  ...  Furthermore, the medical annotation task, that traditionally has been under the ImageCLEF umbrella and that this year celebrates its tenth anniversary, has been organized in conjunction with AMIA for the  ...  To meet these objectives, ImageCLEF organises tasks that benchmark the annotation and retrieval of diverse images such as general photographic and medical images, as well as domain-specific tasks such  ... 
doi:10.1007/978-3-642-40802-1_26 fatcat:wi5nqtvoxbch3jtl2u7qzwo5fm

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.  ...  For the medical image annotation task, two approaches were tested.  ...  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

Performance Measures Used in Image Information Retrieval [chapter]

Mark Sanderson
2010 ImageCLEF  
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.  ...  retrieval; Obj -object retrieval; Wik -Wikipedia MM retrieval; Med A -medical annotation; Img -image annotation; Vis -visual concept detection.).  ... 
doi:10.1007/978-3-642-15181-1_5 fatcat:bzpz72qkafe2jlnqzajnj7lquu

Deformations, patches, and discriminative models for automatic annotation of medical radiographs

Thomas Deselaers, Hermann Ney
2008 Pattern Recognition Letters  
The methods were applied in the medical image annotation tasks of ImageCLEF in 2005, 2006, and 2007.  ...  In this paper, we describe three different methods for the classification and annotation of medical radiographs.  ...  Methods In the following, we describe the methods that we applied to the ImageCLEF medical image annotation tasks.  ... 
doi:10.1016/j.patrec.2008.03.013 fatcat:4acprbzqyfchbdxnky3jni3toy

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.  ...  In addition to this textual index of annotations, supervised machine learning techniques using visual features were used to classify the images based on image acquisition modality.  ...  System Description of our Adaptive Medical Image Retrieval System The ImageCLEF 2008 medical image retrieval test collection consists of about 66,000 medical images and annotations associated with them  ... 
doi:10.1007/978-3-642-04447-2_96 fatcat:4coo7p2rlbf7nadwdngrnnirry

Baseline Results for the ImageCLEF 2006 Medical Automatic Annotation Task [chapter]

Mark O Güld, Christian Thies, Benedikt Fischer, Thomas M Deserno
2007 Lecture Notes in Computer Science  
This work reports baseline results for the CLEF 2008 Medical Automatic Annotation Task (MAAT) by applying a classifier with a fixed parameter set to all tasks 2005 -2008.  ...  the typical variability in the image data, mainly translation, local deformation, and radiation dose.  ...  Introduction In 2008, the Medical Automatic Annotation Task (MAAT) is held for the fourth time as part of the annual challenge issued by the Cross-Language Evaluation Forum (CLEF).  ... 
doi:10.1007/978-3-540-74999-8_84 fatcat:yr6jutpelneenky7oofzlqgcf4
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