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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  
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(  ...  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  ...  ( forum( and( framework( for( evaluating( the( state( of( the( art( in( biomedical( image( information(retrieval([4,18,24,26,28,29,30,41].(( ( Motivation:** An( important( goal( is( to( develop( systems  ... 
doi:10.1016/j.compmedimag.2014.03.004 pmid:24746250 pmcid:PMC4177510 fatcat:xuck5guwojexviqczz4keargjm

General Overview of ImageCLEF at the CLEF 2015 Labs [chapter]

Mauricio Villegas, Henning Müller, Andrew Gilbert, Luca Piras, Josiah Wang, Krystian Mikolajczyk, Alba G. Seco de Herrera, Stefano Bromuri, M. Ashraful Amin, Mahmood Kazi Mohammed, Burak Acar, Suzan Uskudarli (+3 others)
2015 Lecture Notes in Computer Science  
This paper presents an overview of the ImageCLEF 2016 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs 2016.  ...  ImageCLEF is an ongoing initiative that promotes the evaluation of technologies for annotation, indexing and retrieval for providing information access to collections of images in various usage scenarios  ...  Acknowledgements The general coordination and the handwritten retrieval task have been supported by the European Union (EU) Horizon 2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref  ... 
doi:10.1007/978-3-319-24027-5_45 fatcat:c5r3lw7ssjhlrpvupjbr4eqazy

General Overview of ImageCLEF at the CLEF 2016 Labs [chapter]

Mauricio Villegas, Henning Müller, Alba García Seco de Herrera, Roger Schaer, Stefano Bromuri, Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Arnau Ramisa, Emmanuel Dellandrea, Robert Gaizauskas (+5 others)
2016 Lecture Notes in Computer Science  
This paper presents an overview of the ImageCLEF 2016 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs 2016.  ...  ImageCLEF is an ongoing initiative that promotes the evaluation of technologies for annotation, indexing and retrieval for providing information access to collections of images in various usage scenarios  ...  Acknowledgements The general coordination and the handwritten retrieval task have been supported  ... 
doi:10.1007/978-3-319-44564-9_25 fatcat:smnjpwfcnjee3h52lbhau75j4e

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  
This paper presents an overview of the ImageCLEF 2013 lab.  ...  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  ...  Conclusion This paper presented an overview of the activities in the 2013 edition of the ImageCLEF lab.  ... 
doi:10.1007/978-3-642-40802-1_26 fatcat:wi5nqtvoxbch3jtl2u7qzwo5fm

Shangri-La: A medical case-based retrieval tool

Alba G. Seco de Herrera, Roger Schaer, Henning Müller
2017 Journal of the Association for Information Science and Technology  
Information retrieval systems are a useful tool to provide access to these documents/images in the biomedical literature related to information needs of medical professionals.  ...  The approach is evaluated using the ImageCLEFmed 2013 medical retrieval benchmark and can thus be compared to other approaches.  ...  Two types of tasks are used to evaluate the system presented in this work: the medical case-based retrieval task and the modality classification task.  ... 
doi:10.1002/asi.23858 fatcat:l67hfolmtrgsbpjmzjp2qrypje

Overview of the ImageCLEF 2016 Medical Task

Alba Garcia Seco de Herrera, Roger Schaer, Stefano Bromuri, Henning Müller
2016 Conference and Labs of the Evaluation Forum  
ImageCLEF is the image retrieval task of the Conference and Labs of the Evaluation Forum (CLEF). ImageCLEF has historically focused on the multimodal and language-independent retrieval of images.  ...  In 2016 a main focus was the creation of meta data for a collection of medical images taken from articles of the the biomedical scientific literature.  ...  Acknowledgements This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH), National Library of Medicine (NLM), and Lister Hill National Center for  ... 
dblp:conf/clef/HerreraSBM16 fatcat:jkm62xlt3jat3le6r276rvu3ha

Medical Image Retrieval: A Multimodal Approach

Yu Cao, Shawn Steffey, Jianbiao He, Degui Xiao, Cui Tao, Ping Chen, Henning Müller
2014 Cancer Informatics  
Facing such an unprecedented volume of image data with heterogeneous image modalities, it is necessary to develop effective and efficient content-based medical image retrieval systems for cancer clinical  ...  Experimental results with large volume of real-world medical images have shown that our new approach is a promising solution for the next-generation medical imaging indexing and retrieval system.  ...  Acknowledgments The authors would like to thank Chyeeka Brown and Huijuan Xu for contributing on part of the system implementation. Author contributions  ... 
doi:10.4137/cin.s14053 pmid:26309389 pmcid:PMC4533857 fatcat:axi6x7234ncwrowi3zs6j7dl7a

A Survey of Multi-panel Image Segmentation Methods

Farrukh Jabeen
2018 Journal of Computers  
We discuss the performance metrics used for the evaluation of these proposed approaches. An overview of the datasets used in the literature is also provided.  ...  For improving the accuracy of image retrieval systems, the researchers proposed different approaches for the segmentation of multi-panel images into their constituent sub-images.  ...  The performance of medical image retrieval system is degraded by the availability of multi-panel images as it cannot get access to the sub-images.  ... 
doi:10.17706/jcp.13.12.1395-1402 fatcat:g7wwetctgva5zazilmbrxrzob4

Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review

Henning Muller, Devrim Unay
2017 IEEE transactions on multimedia  
Content-based multimedia retrieval has been an active research domain since the mid 1990s.  ...  This text is a systematic review of recent work (concentrating on the period between 2011-2017) on content-based multi-modal retrieval and image understanding in the medical domain, where image understanding  ...  One of the first medical multimedia retrieval challenges was ImageCLEF that started with a medical task in 2004 [60] .  ... 
doi:10.1109/tmm.2017.2729400 fatcat:td4s7hbegzbmhlosalzlc3p7tq

Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information

Sonit Singh
2018 Proceedings of ACL 2018, Student Research Workshop  
To address this research gap, we aim to develop machine learning models that can reason jointly on medical images and clinical text for advanced search, retrieval, annotation and description of medical  ...  Despite a large body of research on the intersection of vision-language technology, its adaption to the medical domain is not fully explored.  ...  Also thankful to Google for providing travel grant to attend the conference.  ... 
doi:10.18653/v1/p18-3005 dblp:conf/acl/Singh18 fatcat:moowp3tzoja6th62shsrufsruy

Features Advances to Automatically Find Images for Application to Clinical Decision Support

Ronald Stanley
2016 Medical Research Archives  
In biomedical publications, there are a variety of items that can provide evidence to aid the decision making process.  ...  Filtering through ever increasing sources of information to find relevant information for clinical decisions is a challenging task for clinicians.  ...  [39] ; 3) image modality classification, separation of compound figures, and image retrieval using the 2013 ImageCLEF image set [40] (see [41] for an overview of the results of all ImageCLEF biomedical  ... 
doi:10.18103/mra.v4i7.761 fatcat:riwsgtci3fhtphodl7droceixu

Exploiting Temporal Information in Documents and Query to Improve the Information Retrieval Process: Application to Medical Articles

Jihen MAJDOUBI, Ahlam Nabli
2017 International Journal of Advanced Computer Science and Applications  
But due to the large volume of scientific articles published on the web, an efficient detection and use of this knowledge is quite a difficult task.  ...  In the medical field, scientific articles represent a very important source of knowledge for researchers of this domain.  ...  ACKNOWLEDGMENT We thank the deanship of Scientific Research of Majmaah University to support the research project number 37/40.  ... 
doi:10.14569/ijacsa.2017.080856 fatcat:ltqcmiypybaynbbvk22xmt4i4a

CLEF 15th Birthday

Nicola Ferro
2014 SIGIR Forum  
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  ...  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  ...  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

State-of-the-art in biomedical literature retrieval for clinical cases: a survey of the TREC 2014 CDS track

Kirk Roberts, Matthew Simpson, Dina Demner-Fushman, Ellen Voorhees, William Hersh
2015 Information retrieval (Boston)  
In this article, we provide an overview of the task, a survey of the information retrieval methods employed by the participants, an analysis of the results, and a discussion on the future directions for  ...  To this end, the TREC 2014 Clinical Decision Support Track evaluated a system's ability to retrieve relevant articles in one of three categories (Diagnosis, Treatment, Test) using an idealized form of  ...  Acknowledgments Kirk Roberts, Matthew Simpson, and Dina Demner-Fushman were supported by the intramural research program at the U.S. National Library of Medicine, National Institutes of Health.  ... 
doi:10.1007/s10791-015-9259-x fatcat:vshyzquam5gxdb2zntfrfishl4

Significance of Context Sensitiveness in Content based Image Retrieval System and Bridging the Semantic Gap

N. Karthikeyan, R. Dhanapal
2013 International Journal of Computer Applications  
In this paper, we discuss the principal challenges facing CBIR systems and ways in which they could be overcome.  ...  in obtaining images according to their queries.  ...  All these approaches improve the performance of an image retrieval system.  ... 
doi:10.5120/14594-2833 fatcat:4vvn2etvyjc35bbmr5x3odcbz4
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