Detecting Lung Cancer Symptoms with Analogic CNN Algorithms Based on a Constrained Diffusion Template

Satoshi HIRAKAWA  Csaba REKECZKY  Yoshifumi NISHIO  Akio USHIDA  Tamas ROSKA  Junji UENO  Ishtiaq KASEM  Hiromu NISHITANI  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E80-A   No.7   pp.1340-1344
Publication Date: 1997/07/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Nonlinear Problems
Keyword: 
cellular neural networks,  image processing,  diffusion,  X-ray films,  

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Summary: 
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.