Cell Image Segmentation by Integrating Generative Adversarial Network for Each Class

DOI

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Other Title
  • クラス別敵対的ネットワークの統合による細胞画像のセグメンテーション

Description

<p>Human experts segment cell images manually now, and the criterion for segmentation varies on each expert. As a result, subjective results are obtained. If we develop an automatic segmentation method, we can obtain objective results by the same criteria. This paper proposes a cell image segmentation method using Generative Adversarial Network (GAN) with multiple different roles. The proposed method improved the segmentation accuracy in comparison to conventional pix2pix.</p>

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Keywords

Details 詳細情報について

  • CRID
    1390845713073508992
  • NII Article ID
    130007658316
  • DOI
    10.11517/pjsai.jsai2019.0_1p4j1003
  • ISSN
    27587347
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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