Classification of Lung Nodules Using Deep Learning

DOI
  • Kawajiri Tomoki
    Department of Knowledge and Library Information Science, Faculty of Information, University of Tsukuba
  • Tezuka Taro
    Faculty of Library, Information, and Media Science, University of Tsukuba

Bibliographic Information

Other Title
  • 深層学習を用いた肺腫瘍の判別

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Description

<p>Deep learning methods such as the Convolutional Neural Network and the Residual Network were applied to CT scan images in order to classify whether lung nodules become cancerous or not. Especially, the effect of changing the number of layers in the Residual Network was. Experiment were carried out using several models having these two network architectures and consisting of different numbers of layers and parameters.</p>

Journal

Details 詳細情報について

  • CRID
    1390282680246044672
  • NII Article ID
    130006076915
  • DOI
    10.11239/jsmbe.55annual.161
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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