| Presentation | 2019-01-23 Study on Automated Labeling of Abdominal Arteries Using Machine Learning with Data Augmentation Yusuke Tetsumura, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we improve automated anatomical labeling accuracy for the abdominal arteries by introducing data augmentation technique. It is important to understand the blood vessel structure of patient accurately before or during surgery. Several blood vessel labeling methods using machine learning have been proposed. However, the automated labeling accuracy was low for cases having minor branching patterns in the hepatic arteries since the number of such cases is not enough for learning. In this paper, we artificially expanded number of cases having minor branching patterns and performed balancing of sample number. In our experiments, automated labeling accuracy for the hepatic arteries of cases having minor branching patterns was 85.7% on average while the previous method achieved 82.2%． |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | blood vessel / CT volume / anatomical names recognition / blood vessel structures analysis |
| Paper # | MI2018-106 |
| Date of Issue | 2019-01-15 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2019/1/22(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Chair | Kensaku Mori(Nagoya Univ.) |
| Vice Chair | Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) |
| Secretary | Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) |
| Assistant | Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Medical Imaging |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on Automated Labeling of Abdominal Arteries Using Machine Learning with Data Augmentation |
| Sub Title (in English) | |
| Keyword(1) | blood vessel |
| Keyword(2) | CT volume |
| Keyword(3) | anatomical names recognition |
| Keyword(4) | blood vessel structures analysis |
| 1st Author's Name | Yusuke Tetsumura |
| 1st Author's Affiliation | Nagoya University(Nagoya Univ) |
| 2nd Author's Name | Yuichiro Hayashi |
| 2nd Author's Affiliation | Nagoya University(Nagoya Univ) |
| 3rd Author's Name | Masahiro Oda |
| 3rd Author's Affiliation | Nagoya University(Nagoya Univ) |
| 4th Author's Name | Takayuki Kitasaka |
| 4th Author's Affiliation | Aichi Institute of Technology(AIT) |
| 5th Author's Name | Kazunari Misawa |
| 5th Author's Affiliation | Aichi Cancer Center Hospital(ACC) |
| 6th Author's Name | Kensaku Mori |
| 6th Author's Affiliation | Nagoya University(Nagoya Univ) |
| Date | 2019-01-23 |
| Paper # | MI2018-106 |
| Volume (vol) | vol.118 |
| Number (no) | MI-412 |
| Page | pp.pp.191-196(MI), |
| #Pages | 6 |
| Date of Issue | 2019-01-15 (MI) |