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Paper Abstract and Keywords
Presentation 2018-02-16 10:45
A Note on Use of Generative Adversarial Networks for Gastritis Classification from Gastric X-ray Images
Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents potential of gastritis images generated by generative adversarial networks (GANs) for gastritis classification. GANs are popular methods that produce novel samples from high-dimensional data distribution, such as images or sounds. It has been reported that GANs-generated images are useful for improving classification tasks. Since collecting medical image data is difficult compared to natural images, it would be helpful if we can use GANs-generated medical images. Hence, we generate gastritis and non-gastritis images via adversarial learning and use generated images for supervised recognition tasks for evaluating their effectiveness of the gastritis classification.
Keyword (in Japanese) (See Japanese page) 
(in English) Gastric cancer / Gastritis / Deep learning / Generative adversarial network / / / /  
Reference Info. ITE Tech. Rep., vol. 42, no. 4, ME2018-31, pp. 299-303, Feb. 2018.
Paper # ME2018-31 
Date of Issue 2018-02-08 (MMS, HI, ME, AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2018-02-15 - 2018-02-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ME 
Conference Code 2018-02-ITS-IE-MMS-HI-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Use of Generative Adversarial Networks for Gastritis Classification from Gastric X-ray Images 
Sub Title (in English)  
Keyword(1) Gastric cancer  
Keyword(2) Gastritis  
Keyword(3) Deep learning  
Keyword(4) Generative adversarial network  
1st Author's Name Ren Togo  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Kenta Ishihara  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takahiro Ogawa  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Miki Haseyama  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Date Time 2018-02-16 10:45:00 
Presentation Time 15 
Registration for ME 
Paper # MMS2018-31, HI2018-31, ME2018-31, AIT2018-31 
Volume (vol) vol.42 
Number (no) no.4 
Page pp.299-303 
Date of Issue 2018-02-08 (MMS, HI, ME, AIT) 

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