Multimodal medical information retrieval with unsupervised rank fusion

•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 algorit...

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Vydáno v:Computerized medical imaging and graphics Ročník 39; s. 35 - 45
Hlavní autoři: Mourão, André, Martins, Flávio, Magalhães, João
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Ltd 01.01.2015
Témata:
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
Medical search
Search interfaces
Data fusion
Assisted query formulation
Multimodal retrieval
ISSN:0895-6111, 1879-0771, 1879-0771
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Popis
Shrnutí:•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 Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. However, the ever-growing heterogeneous information generated in medical environments poses several challenges for retrieval systems. We propose a medical information retrieval system with support for multimodal medical case-based retrieval. The system supports medical information discovery by providing multimodal search, through a novel data fusion algorithm, and term suggestions from a medical thesaurus. Our search system compared favorably to other systems in 2013 ImageCLEFMedical.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0895-6111
1879-0771
1879-0771
DOI:10.1016/j.compmedimag.2014.05.006