Garcia Seco De Herrera, Alba and Schaer, Roger and Markonis, Dimitrios and Müller, Henning (2015) 'Comparing Fusion Techniques for the ImageCLEF 2013 Medical Case Retrieval Task.' Computerized Medical Imaging and Graphics, 39. pp. 46-54. ISSN 0895-6111

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Abstract

Retrieval systems can supply similar cases with a proven diagnosis to a new example case under observation to help clinicians during their work. The ImageCLEFmed evaluation campaign proposes a framework where research groups can compare case-based retrieval approaches. This paper focuses on the case-based task and adds results of the compound figure separation and modality classification tasks. Several fusion approaches are compared to identify the approaches best adapted to the heterogeneous data of the task. Fusion of visual and textual features is analyzed, demonstrating that the selection of the fusion strategy can improve the best performance on the case-based retrieval task.

Item Type:	Article
Uncontrolled Keywords:	Medical case-based retrieval; Multimodal fusion; Visual reranking; ImageCLEF; MedGIFT
Divisions:	Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor:	Elements
Depositing User:	Elements
Date Deposited:	22 Jan 2020 21:52
Last Modified:	23 Sep 2022 19:21
URI:	http://repository.essex.ac.uk/id/eprint/22211

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