ニューラルネットワークを用いた白血球画像の自動分類

DOI

書誌事項

タイトル別名
  • Automatic Classification of white blood cell images by neural network

抄録

Measuring the proportion of white blood cells is effective for estimating the source of the disease or for observing the progress of the disease. However, it takes long time by hand and requires the specialized knowledge, thereby the method for automatically classifying cells is needed. We propose a classification of white blood cells based on neural network in this paper. Nine parameters of area, shape and color information are extracted from a microscopic image of cells. These parameters are used as inputs for neural network classifier. Experimental results show that our proposed method can classify cells with high accuracy.

収録刊行物

詳細情報 詳細情報について

  • CRID
    1390001205621720704
  • NII論文ID
    130006981788
  • DOI
    10.11509/sci.sci03.0.6023.0
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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