Multimodal medical information retrieval with unsupervised rank fusion
Highlights • We propose a medical retrieval system supporting text and image queries. • It can retrieve either relevant PubMed articles or images from those articles. • It supports automatic query term expansion from the MeSH thesaurus. • Novel fusion algorithm, ISR, improves results from existing r...
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Veröffentlicht in: | Computerized medical imaging and graphics 2015-01, Vol.39, p.35-45 |
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container_title | Computerized medical imaging and graphics |
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creator | Mourão, André Martins, Flávio Magalhães, João |
description | Highlights • We propose a medical retrieval system supporting text and image queries. • It can retrieve either relevant PubMed articles or images from those articles. • It supports automatic query term expansion from the MeSH thesaurus. • Novel fusion algorithm, ISR, improves results from existing rank fusion algorithms. • We got the best result on multimodal case-based retrieval in 2013 ImageCLEFMedical |
doi_str_mv | 10.1016/j.compmedimag.2014.05.006 |
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source | MEDLINE; Elsevier ScienceDirect Journals Complete |
subjects | Algorithms Artificial Intelligence Assisted query formulation Data fusion Data integration Documentation - methods Health care Information retrieval Information Storage and Retrieval - methods Internal Medicine Medical Medical search Medical Subject Headings Multimodal Imaging - methods Multimodal retrieval Natural Language Processing Other Pattern Recognition, Automated - methods PubMed Radiology Information Systems - organization & administration Retrieval Search interfaces Searching Subtraction Technique Terminology as Topic Thesauri User-Computer Interface Vocabulary, Controlled |
title | Multimodal medical information retrieval with unsupervised rank fusion |
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