Automatic Classification of white blood cell images by neural network

DOI

Bibliographic Information

Other Title
  • 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

Abstract

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.

Journal

Details 詳細情報について

  • CRID
    1390001205621720704
  • NII Article ID
    130006981788
  • DOI
    10.11509/sci.sci03.0.6023.0
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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