| Presentation | 2021-03-01 Examination of voice input and treatment detection by video analysis for endoscopic findings creation support Chihiro Takigami, Mai Fujie, Yuichiro Yoshimura, Toshiya Nakaguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Currently, endoscopy findings are mainly recorded by manual entry after the examination, which is burdensome due to the dependence on the physician's memory and the time required after the examination. We aim to develop a system that combines voice input and video analysis of examination findings to streamline the creation of findings and prevent omissions. For achieve smooth recognition and highly accurate item selection, we examined the recognition of input items by replacing them with short words and determined the optimal recognition words. In the video analysis, we detected the use of dyes and narrow-band light and biopsies by machine learning, suggesting the possibility of automatic recording of procedures. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Voice recognition / Endoscopic video analysis / Machine learning / Support Vector Machine |
| Paper # | IMQ2020-12,IE2020-52,MVE2020-44 |
| Date of Issue | 2021-02-22 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | MVE / IMQ / IE / CQ |
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| Conference Date | 2021/3/1(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Masayuki Ihara(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Hideaki Kimata(NTT) / Hideyuki Shimonishi(NEC) |
| Vice Chair | Kiyoshi Kiyokawa(NAIST) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Kiyoshi Kiyokawa(Oosaka Inst. of Tech.) / Mitsuru Maeda(NTT) / Kenya Uomori(Univ. of ToKyo) / Kazuya Kodama(Shizuoka Univ.) / Keita Takahashi(Sony Semiconductor Solutions) / Jun Okamoto(KDDI Research) / Takefumi Hiraguri(Nagoya Inst. of Tech.) |
| Assistant | Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) / Ryoichi Kataoka(KDDI Research) |
| Paper Information | |
| Registration To | Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Media Quality / Technical Committee on Image Engineering / Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Examination of voice input and treatment detection by video analysis for endoscopic findings creation support |
| Sub Title (in English) | |
| Keyword(1) | Voice recognition |
| Keyword(2) | Endoscopic video analysis |
| Keyword(3) | Machine learning |
| Keyword(4) | Support Vector Machine |
| 1st Author's Name | Chihiro Takigami |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Mai Fujie |
| 2nd Author's Affiliation | Chiba University of Clinical Engineering Center, Faculty of Medicine Hospital(Chiba Univ.) |
| 3rd Author's Name | Yuichiro Yoshimura |
| 3rd Author's Affiliation | Toyama University Hospital Medical AI Development Office(Toyama Univ.) |
| 4th Author's Name | Toshiya Nakaguchi |
| 4th Author's Affiliation | Chiba University Frontier Medical Engineering Center(Chiba Univ.) |
| Date | 2021-03-01 |
| Paper # | IMQ2020-12,IE2020-52,MVE2020-44 |
| Volume (vol) | vol.120 |
| Number (no) | IMQ-389,IE-390,MVE-391 |
| Page | pp.pp.13-16(IMQ), pp.13-16(IE), pp.13-16(MVE), |
| #Pages | 4 |
| Date of Issue | 2021-02-22 (IMQ, IE, MVE) |