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Modality classification of medical images with distributed representations based on cellular automata reservoir computing
Department of Computer Science Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden .ORCID iD: 0000-0002-6032-6155
Department of Computer and Information Sciences, Universiti Teknologi, Petronas, Malaysia.
Department of Computer Science Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden .ORCID iD: 0000-0003-0069-640X
Department of Computer and Information Sciences, Universiti Teknologi, Petronas, Malaysia.
2017 (English)In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017): Proceedings, IEEE, 2017, p. 1053-1056Conference paper, Published paper (Refereed)
Abstract [en]

Modality corresponding to medical images is a vital filter in medical image retrieval systems. This article presents the classification of modalities of medical images based on the usage of principles of hyper-dimensional computing and reservoir computing. It is demonstrated that the highest classification accuracy of the proposed method is on a par with the best classical method for the given dataset (83% vs. 84%). The major positive property of the proposed method is that it does not require any optimization routine during the training phase and naturally allows for incremental learning upon the availability of new training data.

Place, publisher, year, edition, pages
IEEE, 2017. p. 1053-1056
Series
IEEE International Symposium on Biomedical Imaging, ISSN 1945-7928, E-ISSN 1945-8452
National Category
Medical Imaging Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:oru:diva-116050DOI: 10.1109/ISBI.2017.7950697ISI: 000414283200243Scopus ID: 2-s2.0-85023198723ISBN: 9781509011735 (print)ISBN: 9781509011728 (electronic)OAI: oai:DiVA.org:oru-116050DiVA, id: diva2:1898357
Conference
14th International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia, April 18-21, 2017
Funder
Swedish Research Council, 2015-04677Available from: 2024-09-17 Created: 2024-09-17 Last updated: 2025-02-09Bibliographically approved

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Kleyko, DenisKhan, SumeerOsipov, Evgeny

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf