Multimodal medical information retrieval with unsupervised rank fusion

André Mourão, Flávio Martins, João Magalhães

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)35-45
Number of pages11
JournalComputerized Medical Imaging and Graphics
Volume39
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Assisted query formulation
  • Data fusion
  • Medical search
  • Multimodal retrieval
  • Search interfaces

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