A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
CLEF 2011
2012
SIGIR Forum
Preserved Fulltext
CLEF 2011 was sponsored by: the Center for Creation, Content and Technology (CCCT), the City of Amsterdam, the ELIAS Research Network Programme, Microsoft Research, the Netherlands Institute for Sound ...
CLEF relies on an incredible amount of voluntary work and enthusiasm: we would like to thank all those people whose contributions have allowed CLEF to grow and improve year after year. ...
Four tasks were offered this year: image retrieval from Wikipedia, medical image retrieval with a data collection from the scientific literature, visual plant species classification of leaf images and ...
doi:10.1145/2093346.2093349
fatcat:3g7glfufgrhzdpaxk7ckskqxly
Networks and Shared Tasks in Clinical Text Mining
[chapter]
2018
Clinical Text Mining
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
-Extraction of temporal relation (using the THYME corpora). • The Text REtrieval Conference (TREC) Medical, 2 and Clinical Decision Support (CDS) tracks 3 during 2011-2014. ...
In Fig. 11 .1 there is an overview of all ShARe/CLEF eHealth evaluation tasks from 2013 to 2016. ...
doi:10.1007/978-3-319-78503-5_11
fatcat:bob7cb2zxvgffg6rqqj7gvbjee
CLEF 2010 conference on multilingual and multimodal information access evaluation
2011
SIGIR Forum
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
answering, image and video search, and interactive retrieval. ...
It has also promoted the study and implementation of evaluation methodologies for diverse IR tasks and media. As a result, CLEF has been extremely successful in building a strong, multidisciplinary 1 ...
There were four tasks in 2010: Medical Retrieval of images from articles published in Radiology and Radiographics, Photo Annotation of a MIR Flickr database of consumer photos with multiple annotations ...
doi:10.1145/1924475.1924477
fatcat:qx42pcur3venfa2vpzmef4m5u4
Evaluating performance of biomedical image retrieval systems—An overview of the medical image retrieval task at ImageCLEF 2004–2013
2015
Computerized Medical Imaging and Graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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 ...
classification(and(retrieval(tasks. ...
doi:10.1016/j.compmedimag.2014.03.004
pmid:24746250
pmcid:PMC4177510
fatcat:xuck5guwojexviqczz4keargjm
General Overview of ImageCLEF at the CLEF 2015 Labs
[chapter]
2015
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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. ...
of general web images; and 3) retrieval from collections of scanned handwritten documents. ...
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]
2016
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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. ...
of general web images; and 3) retrieval from collections of scanned handwritten documents. ...
Acknowledgements The general coordination and the handwritten retrieval task have been supported ...
doi:10.1007/978-3-319-44564-9_25
fatcat:smnjpwfcnjee3h52lbhau75j4e
Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval
2018
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The aim of this presented work is to utilize Transfer Learning to generate image keywords, which are substituted as text representation for medical image classification and retrieval tasks. ...
For the image classification tasks, Random Forest models trained with Bag-of-Keypoints visual representations were adopted. ...
However, for real clinical cases and some image classification tasks such as ImageCLEF2009 Medical Annotation Task (Tommasi et al., 2009 ) and Image-CLEF 2015 Medical Clustering Task (Amin and Mohammed ...
doi:10.5220/0006732301790187
dblp:conf/biostec/PelkaNF18
fatcat:aoadhd2inbc6tkx5ahua4uuuz4
CLEF 15th Birthday
2014
SIGIR Forum
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
Document image classification, with a specific view on applications of patent images
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
of the Clef-IP 2011. ...
As an example of such need, we describe the Image-based Patent Retrieval task's of Clef-IP 2011, where we used the same image representation to predict the image type and retrieve relevant patents. ...
CLEF-IP: contains the training image set from the Patent Image Classification task of the Clef-IP 2011 [11] . ...
arXiv:1601.03295v1
fatcat:quu7s33zyvcuxdsddzieh2pemu
Improved medical image modality classification using a combination of visual and textual features
2015
Computerized Medical Imaging and Graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Improved medical image modality classification using a combination of visual and textual features. ...
Comput Med Imaging Graph (2014), http://dx. a b s t r a c t In this paper, we present the approach that we applied to the medical modality classification tasks at the ImageCLEF evaluation forum. ...
Acknowledgements We would like to acknowledge the support of the European Commission through the project MAESTRA -Learning from Massive, Incompletely annotated, and Structured Data (Grant number ICT-2013 ...
doi:10.1016/j.compmedimag.2014.06.005
pmid:24997992
fatcat:g76syoiwe5fbvnmjxvmnryluvy
Shangri-La: A medical case-based retrieval tool
2017
Journal of the Association for Information Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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. ...
Large amounts of medical visual data are produced in hospitals daily and made available continuously via publications in the scientific literature, representing the medical knowledge. ...
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
What is the right way to represent document images?
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We evaluate these features in several tasks (i.e. classification, clustering, and retrieval) and in different setups (e.g. domain transfer) using several public and in-house datasets. ...
In this article we study the problem of document image representation based on visual features. ...
CLEF-IP The CLEF-IP dataset is the training set 7 released for the Patent Image Classification task of the Clef-IP 2011 Challenge [38] . ...
arXiv:1603.01076v3
fatcat:ugjusn6n6vhljn5j52uj5llzta
X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words
2011
IEEE Transactions on Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
In this study we present an efficient image categorization and retrieval system applied to medical image databases, in particular large radiograph archives. ...
The methodology is based on local patch representation of the image content, using a "bag of visual words" approach. ...
Retrieving similar cases from a large archive is a very challenging task and is one of the key issues in the rapidly expanding domain of content-based medical image retrieval [11] . ...
doi:10.1109/tmi.2010.2095026
pmid:21118769
fatcat:gseqpdx2zfc4rdkmyysal7dqfm
Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers
[chapter]
2020
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Recently, two main trends characterise its developments: the adoption of deep learning architectures and the consideration of textual material originating from historical and cultural heritage collections ...
In this context, this paper introduces the CLEF 2020 Evaluation Lab HIPE (Identifying Historical People, Places and other Entities) on named entity recognition and linking on diachronic historical newspaper ...
This CLEF evaluation lab is part of the research activities of the project "impresso -Media Monitoring of the Past", for which authors gratefully acknowledge the financial support of the Swiss National ...
doi:10.1007/978-3-030-45442-5_68
fatcat:rxzl2vzryfgn3f56bzsrna45sa
Multimodal biomedical image retrieval using hierarchical classification and modality fusion
2013
International Journal of Multimedia Information Retrieval
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
For the CBIR search, several visual features were extracted to represent the images. Modalityspecific information was used for similarity fusion and selection of a relevant image subset. ...
To minimize limitations of low-level feature representations in content-based image retrieval (CBIR), and to complement text-based search, we propose a multi-modal image search approach that exploits hierarchical ...
In this regard, for off-line learning on training samples we used our best image and text-based MAP scores from the previous year (e.g., CLEF'2011). ...
doi:10.1007/s13735-013-0038-4
fatcat:cl7yikyncjaknivblsixnjbe74
« Previous
Showing results 1 — 15 out of 189 results