Detecting Lung Cancer Symptoms with Analogic CNN Algorithms Based on a Constrained Diffusion Template
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概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 1997-07-25
著者
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NISHIO Yoshifumi
Department of Electrical and Electronic Engineering, Tokushima University
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Nishio Y
Tokushima Univ. Tokushima Jpn
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Nishio Yoshifumi
The Department Of Electrical And Electronic Engineering Faculty Of Engineering University Of Tokushi
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USHIDA Akio
Department of Mechanical and Electronic Engineering, Tokushima Bunri University
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Ushida Akio
Department Of Electrical And Electronic Engineering The University Of Tokushima
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Ushida Akio
Department Of Electrical And Electronic Engineering Faculty Of Engineering Tokushima University
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NISHITANI Hiromu
Department of Radiology, School of Medicine, The University of Tokushima
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Nishio Yoshifumi
Department Of Electrical And Electronic Engineering The University Of Tokushima
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HIRAKAWA Satoshi
Department of Electrical and Electronic Engineering, Tokushima University
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REKECZKY Csaba
Computer and Automation Institute, Hungarian Academy of Sciences
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ROSKA Tamas
Computer and Automation Institute, Hungarian Academy of Sciences
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UENO Junji
Department of Radiology, Faculty of Medicine, Tokushima University
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KASEM Ishtiaq
Department of Radiology, Faculty of Medicine, Tokushima University
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Nishio Yoshifumi
Department Of Dept. Of Electrical And Electronics Engineering Tokushima University
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Ushida Akio
Department Of Mechanical And Electronic Engineering Faculty Of Engineering Tokushima Bunri Universit
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Nishio Y
Tokushima Univ. Tokushima‐shi Jpn
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Kasem Ishtiaq
Department Of Radiology Faculty Of Medicine Tokushima University
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Ueno Junji
Department Of Radiology Faculty Of Medicine Tokushima University
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Ueno Junji
Department Of Neurosurgery Funabashi Municipal Medical Center
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Roska T
Computer And Automation Institute Hungarian Academy Of Sciences
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Roska Tamas
Computer And Automation Institute Hungarian Academy Of Sciences
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Rekeczky Csaba
Computer And Automation Institute Hungarian Academy Of Sciences Hungary
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Rekeczky Csaba
Computer And Automation Institute Hungarian Academy Of Sciences
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Hirakawa Satoshi
Department Of Dermatology Ehime University Graduate School Of Medicine
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Nishitani H
Tokushima Univ. Tokushima‐shi Jpn
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Nishitani Hiromu
Department Of Radiology Institute Of Health Biosciences The University Of Tokushima Graduate Schoo
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UENO JUNJI
Department of Applied Chemistry, Waseda University
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