| Presentation | 2020-01-29 構造化光投影を使用した3D内視鏡システムにおけるCNNによるパターン解析と連続計測結果の統合 Ryo Furukawa, , , , , , , |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For effective in situ endoscopic diagnosis and treatment, measurement of polyp sizes is important. For this purpose, 3D endoscopic systems have been researched. Among such systems, an active stereo technique, which projects a special pattern wherein each feature is coded, is a promising approach because of simplicity and high precision. However, previous works of this approach have problems. First, the quality of 3D reconstruction depended on stabilities of feature extraction from the images captured by the endoscope camera. Second, due to the limited pattern projection area, the reconstructed region was relatively small. In this paper, we propose a learning-based technique using CNNs to solve the first problem and an extended bundle adjustment technique, which integrates multiple shapes into a consistent single shape, to address the second. The effectiveness of the proposed techniques compared to previous techniques was evaluated experimentally. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | MI2019-89 |
| Date of Issue | 2020-01-22 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2020/1/29(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OKINAWAKEN SEINENKAIKAN |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| 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-ONLY |
| Title (in Japanese) | (See Japanese page) |
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| 1st Author's Name | Ryo Furukawa |
| 1st Author's Affiliation | () |
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| Date | 2020-01-29 |
| Paper # | MI2019-89 |
| Volume (vol) | vol.119 |
| Number (no) | MI-399 |
| Page | pp.pp.109-114(MI), |
| #Pages | 6 |
| Date of Issue | 2020-01-22 (MI) |