Overview of the VISCERAL retrieval benchmark 2015

Jiménez del Toro, Oscar Alfonso ( University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Foncubierta-Rodríguez, Antonio ( Swiss Federal Institute of Technology (ETH) Zurich, Switzerland) ; Müller, Henning ( University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Langs, Georg ( Medical University of Vienna (MUW), Austria) ; Hanbury, Allan ( Vienna University of Technology (TUW), Austria)

The results of the VISCERAL 3D case retrieval benchmark were presented during the Multimodal Retrieval in the Medical Domain (MRMD) 2015 workshop in Vienna, Austria on March 29, 2015. The main task for the participanta was to nd and rank similar medical cases from a large multimodal (semantic RadLex terms extracted from text and visual 3D data) data set using a query case as input. The approaches that integrated information from both the RadLex terms and the 3D volumes provided in the benchmark obtained the best results based on 5 standard evaluation metrics. The benchmark set up, data set description and result analysis from the benchmark are presented for all the submitted methods.


Mots-clés:
Type de conférence:
full paper
Faculté:
Economie et Services
Ecole:
HEG VS HES-SO Valais-Wallis - Haute Ecole de Gestion & Tourisme
Institut:
Institut Informatique de gestion
Classification:
Informatique
Adresse bibliogr.:
Vienna, Austria , 29 March 2015
Date:
Vienna, Austria
29 March 2015
2015
Pagination:
9 p.
Publié dans
Proceedings of Multimodal Retrieval in the Medical Domain (MRMD) 2015
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 Notice créée le 2015-11-21, modifiée le 2018-08-31

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