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

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

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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
VolumeE80-A
Issue number7
Publication statusPublished - 1997

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Lung Cancer
Template
X ray films

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Information Systems

Cite this

Detecting lung cancer symptoms with analogic CNN algorithms based on a constrained diffusion template. / Hirakawa, Satoshi; Rekeczky, Csaba; Nishio, Yoshifumi; Ushida, Akio; Roska, T.; Ueno, Junji; Kasem, Ishtiaq; Nishitani, Hiromu.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E80-A, No. 7, 1997, p. 1340-1343.

Research output: Contribution to journalArticle

Hirakawa, Satoshi ; Rekeczky, Csaba ; Nishio, Yoshifumi ; Ushida, Akio ; Roska, T. ; Ueno, Junji ; Kasem, Ishtiaq ; Nishitani, Hiromu. / Detecting lung cancer symptoms with analogic CNN algorithms based on a constrained diffusion template. In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 1997 ; Vol. E80-A, No. 7. pp. 1340-1343.
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