Development of automatic classification system of bioimages

DOI 29 References

Bibliographic Information

Other Title
  • 生物画像の自動分類システムの開発

Abstract

Advances in imaging techniques have yield massive images into the biology. Along with the increase of dimension and data size of bioimages in the research field, a need for computer-aided image analysis becomes clear. However, software environments are not utilized enough for image analysis. This is because the versatility of purposes and the diversity of bioimages. With this situation,we have developed an adaptive classification system for bioimages, named “clustering-aided rapid training agent (CARTA)”. The CARTA is applicable to various bioimage classification that facilitates annotation and selection of features. The CARTA interactively collects information from experts and generates the customized classifier for the specified bioimages. In this review, approaches for development of bioimage classifiers are outlined as follows: clustering, rule-based classifier, supervised learning and active learning. The explanation of CARTA is followed as an example of active learning approach.

Journal

  • PLANT MORPHOLOGY

    PLANT MORPHOLOGY 25 (1), 73-81, 2013

    The Japanese Society of Plant Morphology

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Details 詳細情報について

  • CRID
    1390282680334406016
  • NII Article ID
    130004691679
  • DOI
    10.5685/plmorphol.25.73
  • ISSN
    18844154
    09189726
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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