Garcia Seco De Herrera, Alba and Kalpathy-Cramer, Jayashree and Demner-Fushman, Dina and Antani, Sameer and Müller, Henning (2014) Overview of the ImageCLEF 2013 medical tasks. In: CLEF 2013 Conference, 2013-09-23 - 2013-09-26, Valencia, Spain.
Garcia Seco De Herrera, Alba and Kalpathy-Cramer, Jayashree and Demner-Fushman, Dina and Antani, Sameer and Müller, Henning (2014) Overview of the ImageCLEF 2013 medical tasks. In: CLEF 2013 Conference, 2013-09-23 - 2013-09-26, Valencia, Spain.
Garcia Seco De Herrera, Alba and Kalpathy-Cramer, Jayashree and Demner-Fushman, Dina and Antani, Sameer and Müller, Henning (2014) Overview of the ImageCLEF 2013 medical tasks. In: CLEF 2013 Conference, 2013-09-23 - 2013-09-26, Valencia, Spain.
Abstract
In 2013, the tenth edition of the medical task of the Image-CLEF benchmark was organized. For the first time, the ImageCLEFmedworkshop takes place in the United States of America at the annualAMIA (American Medical Informatics Association) meeting even thoughthe task was organized as in previous years in connection with the otherImageCLEF tasks. Like 2012, a subset of the open access collection ofPubMed Central was distributed. This year, there were four subtasks:modality classification, compound figure separation, image–based andcase–based retrieval. The compound figure separation task was includeddue to the large number of multipanel images available in the literatureand the importance to separate them for targeted retrieval. More com-pound figures were also included in the modality classification task tomake it correspond to the distribution in the full database. The retrievaltasks remained in the same format as in previous years but a largernumber of tasks were available for image–based and case–based tasks.This paper presents an analysis of the techniques applied by the tengroups participating 2013 in ImageCLEFmed.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: CEUR Workshop Proceedings |
Uncontrolled Keywords: | case-based retrieval, compound figure separation, image classification, image retrieval, image retrieval evaluation, ImageCLEF, ImageCLEF benchmark |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 29 Jan 2020 21:05 |
Last Modified: | 23 Sep 2022 19:21 |
URI: | http://repository.essex.ac.uk/id/eprint/22235 |
Available files
Filename: CLEF2013wn-ImageCLEF-SecoDeHerreraEt2013b.pdf
Licence: Creative Commons: Attribution 3.0