| Presentation | 2022-09-15 Esophageal Tumor Segmentation in Endoscopic Images by Deep Learning Zehao Li, Ken'ichi Morooka, Yuho Ebata, Hirofumi Hasuda, Shoko Miyauchi, Ota Mitsuhiko, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Esophageal cancer is often asymptomatic at early stage.It progresses rapidly and can invade surrounding tissues.The esophagus is surrounded by vital organs.Treatment becomes difficult if these organs invaded by esophageal cancer.Therefore, early diagnosis of esophageal cancer is necessary. In this study, we constructed a system for extracting tumor regions from NBI endoscopic images obtained by Narrow Band Imaging (NBI), and detected tumor regions with an accuracy of 83.5%. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | NBI endoscopic images / esophageal cancer / U-Net / segmentation / multi-feature extraction |
| Paper # | MI2022-54 |
| Date of Issue | 2022-09-08 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2022/9/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hidekata Hontani(Nagoya Inst. of Tech.) |
| Vice Chair | Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) |
| Secretary | Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(Univ. of Hyogo) |
| Assistant | Takeshi Hara(Gifu Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Medical Imaging |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Esophageal Tumor Segmentation in Endoscopic Images by Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | NBI endoscopic images |
| Keyword(2) | esophageal cancer |
| Keyword(3) | U-Net |
| Keyword(4) | segmentation |
| Keyword(5) | multi-feature extraction |
| 1st Author's Name | Zehao Li |
| 1st Author's Affiliation | Okayama University(Okayama Univ.) |
| 2nd Author's Name | Ken'ichi Morooka |
| 2nd Author's Affiliation | Okayama University(Okayama Univ.) |
| 3rd Author's Name | Yuho Ebata |
| 3rd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 4th Author's Name | Hirofumi Hasuda |
| 4th Author's Affiliation | National Hospital Organization Kyushu Medical Center(NHOKMC) |
| 5th Author's Name | Shoko Miyauchi |
| 5th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 6th Author's Name | Ota Mitsuhiko |
| 6th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| Date | 2022-09-15 |
| Paper # | MI2022-54 |
| Volume (vol) | vol.122 |
| Number (no) | MI-188 |
| Page | pp.pp.26-27(MI), |
| #Pages | 2 |
| Date of Issue | 2022-09-08 (MI) |