Detecting lung cancer symptoms with analogic CNN algorithms based on a constrained diffusion template

Satoshi Hirakawa, Csaba Rekeczky, Yoshifumi Nishio, Akio Ushida, Tamás Roska, Junji Ueno, Ishtiaq Kasem, Hiromu Nishitani

Research output: Contribution to journalArticle

1 Citation (Scopus)


In this article, a new type of diffusion template and an analogic CNN algorithm using this diffusion template for detecting some lung cancer symptoms in X-ray films are proposed. The performance of the diffusion template is investigated and our CNN algorithm is verified to detect some key lung cancer symptoms, successfully.

Original languageEnglish
Pages (from-to)1340-1343
Number of pages4
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Issue number7
Publication statusPublished - Jan 1 1997



  • Cellular neural networks
  • Diffusion
  • Image processing
  • X-ray films

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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