| Presentation | 2024-01-26 An attempt to determine stenosis from coronary stretch images using deep learning Tetsuya Asakawa, Hiroki Shinoda, Yuta Fukatsu, Takuya Togawa, Kazuki Shimizu, Masaki Aono, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Coronary artery stenosis, one of the most common heart diseases, is diagnosed by a human, which is a time-consuming and labor-intensive process. Therefore, the diagnosis of coronary artery stenosis is desired to be automated, and deep learning has shown great promise in this regard. In this paper, we propose two deep learning models based on coronary artery MPR images from contrast CT images: one is to input each extracted coronary artery individually, and the other is to input an aggregate projection view (APV). The model using APV images showed a maximum F1-score of 0.779±0.024 |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Computed Tomography / Coronary Stretch Image / Coronary Stenosis / Deep Learning |
| Paper # | PRMU2023-49 |
| Date of Issue | 2024-01-18 (PRMU) |
| Conference Information | |
| Committee | PRMU / MVE / VRSJ-SIG-MR / IPSJ-CVIM |
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| Conference Date | 2024/1/25(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Keio Univ. (Hiyoshi Campus) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kunio Kashio(NTT) / Kiyoshi Kiyokawa(NAIST) / / 日浦 慎作(兵庫県立大) |
| Vice Chair | Takuya Funatomi(NAIST) / Go Irie(Tokyo Univ. of Science) / Sumaru Niida(KDDI Research) |
| Secretary | Takuya Funatomi(Tokyo Inst. of Tech.) / Go Irie(Riken) / Sumaru Niida(Otsuma Women's University) / (DNP) / (Kyushu Univ.) |
| Assistant | Kei Shimonishi(Kyoto Univ.) / Kensho Hara(AIST) / Hidehiko Shishido(Soka University) / Atsushi Nakazawa(Kyoto Univ.) / Naoya Tojo(KDDI Research) / Naoki Hagiyama(NTT) / Yuji Tatada(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Media Experience and Virtual Environment / SIG-MR / Special Interest Group on Computer Vision and Image Media |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An attempt to determine stenosis from coronary stretch images using deep learning |
| Sub Title (in English) | |
| Keyword(1) | Computed Tomography |
| Keyword(2) | Coronary Stretch Image |
| Keyword(3) | Coronary Stenosis |
| Keyword(4) | Deep Learning |
| 1st Author's Name | Tetsuya Asakawa |
| 1st Author's Affiliation | Toyohashi University of Technology(TUT) |
| 2nd Author's Name | Hiroki Shinoda |
| 2nd Author's Affiliation | Toyohashi University of Technology(TUT) |
| 3rd Author's Name | Yuta Fukatsu |
| 3rd Author's Affiliation | Toyohashi University of Technology(TUT) |
| 4th Author's Name | Takuya Togawa |
| 4th Author's Affiliation | Toyohashi Heart Center(THC) |
| 5th Author's Name | Kazuki Shimizu |
| 5th Author's Affiliation | Toyohashi Heart Center(THC) |
| 6th Author's Name | Masaki Aono |
| 6th Author's Affiliation | Toyohashi University of Technology(TUT) |
| Date | 2024-01-26 |
| Paper # | PRMU2023-49 |
| Volume (vol) | vol.123 |
| Number (no) | PRMU-358 |
| Page | pp.pp.50-55(PRMU), |
| #Pages | 6 |
| Date of Issue | 2024-01-18 (PRMU) |