| 講演抄録／キーワード |
| 講演名 |
2021-02-18 13:00
A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on EfficientNet with Flooding Loss
○Guang Li・Ren Togo（Hokkaido Univ.）・Katsuhiro Mabe（Junpukai Health Maintenance Center）・Shunpei Nishida（Olympus）・Yoshihiro Tomoda・Hikari Shimizu（Olympus Medical Systems）・Takahiro Ogawa・Miki Haseyama（Hokkaido Univ.） |
| 抄録 |
（和） |
This paper presents a method for automatically diagnosing Helicobacter pylori (H. pylori) infection based on EfficientNet using gastric endoscopic images. We use the images cut in endoscopic videos before the release frames for an augmentation strategy in our method. Moreover, to prevent overfitting of the training process, we use the flooding version of cross-entropy loss. Our method achieves high diagnostic performance in a complex endoscopic image dataset containing two domains and eight different gastric positions. |
| （英） |
This paper presents a method for automatically diagnosing Helicobacter pylori (H. pylori) infection based on EfficientNet using gastric endoscopic images. We use the images cut in endoscopic videos before the release frames for an augmentation strategy in our method. Moreover, to prevent overfitting of the training process, we use the flooding version of cross-entropy loss. Our method achieves high diagnostic performance in a complex endoscopic image dataset containing two domains and eight different gastric positions. |
| キーワード |
（和） |
Helicobacter pylori infection / endoscopic image / EfficientNet / / / / / |
| （英） |
Helicobacter pylori infection / endoscopic image / EfficientNet / / / / / |
| 文献情報 |
映情学技報, vol. 45, no. 4, ME2021-5, pp. 23-26, 2021年2月. |
| 資料番号 |
ME2021-5 |
| 発行日 |
2021-02-11 (MMS, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| PDFダウンロード |
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