| Presentation | 2021-03-17 Automatic Segmentation of bleeding from Laparoscopic Video using Cascade CNN Shota Yamamoto, Yuichiro Hayashi, Shintaro Morimitsu, Takayuki Kitasaka, Masahiro Oda, Nobuyoshi Takeshita, Masaaki Ito, Kensaku Mori, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We describe a bleeding region segmentation method using cascade CNN from laparoscopic images. In order to support laparoscopic surgery, researches on recognition of the status of surgery by analyzing laparoscopic images are conducted. We focused on the bleeding during surgery and segmented the bleeding region from laparoscopic images using the U-Net. This method has the problem that detailed segmentation is difficult. Therefore, we introduce a cascade processing that uses the detection results of YOLOv3 as the information to be input to the U-Net. In our experiment, bleeding regions were segmented by applying the previous and the proposed method to the video of laparoscopic surgery. As the result, it was confirmed that the detailed bleeding regions could be segmented 10.9% of F-measure higher than the previous method by introducing the cascaded process. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Laparoscopic surgery / Surgical process analysis / Segmentation / Deep learning |
| Paper # | MI2020-88 |
| Date of Issue | 2021-03-08 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2021/3/15(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Imaging |
| Chair | Yoshiki Kawata(Tokushima Univ.) |
| Vice Chair | Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.) |
| Secretary | Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo) |
| Assistant | Hotaka Takizawa(Tsukuba 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) | Automatic Segmentation of bleeding from Laparoscopic Video using Cascade CNN |
| Sub Title (in English) | |
| Keyword(1) | Laparoscopic surgery |
| Keyword(2) | Surgical process analysis |
| Keyword(3) | Segmentation |
| Keyword(4) | Deep learning |
| 1st Author's Name | Shota Yamamoto |
| 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 | Shintaro Morimitsu |
| 3rd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 4th Author's Name | Takayuki Kitasaka |
| 4th Author's Affiliation | Aichi Institute of Technology(Aichi Institute Tech.) |
| 5th Author's Name | Masahiro Oda |
| 5th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 6th Author's Name | Nobuyoshi Takeshita |
| 6th Author's Affiliation | National Cancer Center Hospital East(NCC East) |
| 7th Author's Name | Masaaki Ito |
| 7th Author's Affiliation | National Cancer Center Hospital East(NCC East) |
| 8th Author's Name | Kensaku Mori |
| 8th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| Date | 2021-03-17 |
| Paper # | MI2020-88 |
| Volume (vol) | vol.120 |
| Number (no) | MI-431 |
| Page | pp.pp.172-175(MI), |
| #Pages | 4 |
| Date of Issue | 2021-03-08 (MI) |