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 |
Download PDF |
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Conference Information |
Committee |
IEICE-ITS IEICE-IE MMS HI ME AIT |
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) |
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Gastric cancer |
Keyword(2) |
Gastritis |
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Deep learning |
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Generative adversarial network |
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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 |
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Hokkaido University (Hokkaido Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-02-16 10:45:00 |
Presentation Time |
15 minutes |
Registration for |
ME |
Paper # |
MMS2018-31, HI2018-31, ME2018-31, AIT2018-31 |
Volume (vol) |
vol.42 |
Number (no) |
no.4 |
Page |
pp.299-303 |
#Pages |
5 |
Date of Issue |
2018-02-08 (MMS, HI, ME, AIT) |