Presentation | 2022-12-03 [Short Paper] Computer-aided Diagnosis System of COVID-19 with Hololens Liang LYU, Shurong Chai, Jiaqing Liu, Huimin Huang, Fang Wang, Tomoko Tateyama, Lanfen Lin, Yenwei Chen, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | CT images can detect the extent of viral infection in the lung field area in COVID-19, which is important for physicians to determine the severity of a patient's disease. Therefore, it is of new significance to establish a high-precision method for the extraction of inflammatory regions and to grasp the 3D data of COVID-19 infected regions from the obtained information for visualization using virtual reality technology. In this study, the Computer-aided Diagnosis System of COVID-19 was developed using Microsoft's mixed reality device (HoloLens) to help physicians visualize the inflammatory areas of COVID-19 in the lung more accurately. The proposed system can be operated interactively using simple gestures, and diagnostic support is provided through the computer to help doctors work efficiently. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | COVID-19 / Interactive / Segmentation / Visualization / HoloLens |
Paper # | MBE2022-22,NC2022-44 |
Date of Issue | 2022-11-26 (MBE, NC) |
Conference Information | |
Committee | MBE / NC |
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Conference Date | 2022/12/3(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Osaka Electro-Communication University |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | NC, ME, etc. |
Chair | Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo) |
Vice Chair | Hisashi Yoshida(Kinki Univ.) / Hirokazu Tanaka(Tokyo City Univ.) |
Secretary | Hisashi Yoshida(Setsunan Univ) / Hirokazu Tanaka(Tohoku Inst. of Tech.) |
Assistant | Emi Yuda(Tohoku Univ) / Miki Kaneko(Osaka Univ.) / Yoshimasa Tawatsuji(Waseda Univ.) / Tomoki Kurikawa(KMU) |
Paper Information | |
Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Short Paper] Computer-aided Diagnosis System of COVID-19 with Hololens |
Sub Title (in English) | |
Keyword(1) | COVID-19 |
Keyword(2) | Interactive |
Keyword(3) | Segmentation |
Keyword(4) | Visualization |
Keyword(5) | HoloLens |
1st Author's Name | Liang LYU |
1st Author's Affiliation | RITSUMEIKAN University(RITSUMEIKAN Univ.) |
2nd Author's Name | Shurong Chai |
2nd Author's Affiliation | RITSUMEIKAN University(RITSUMEIKAN Univ.) |
3rd Author's Name | Jiaqing Liu |
3rd Author's Affiliation | RITSUMEIKAN University(RITSUMEIKAN Univ.) |
4th Author's Name | Huimin Huang |
4th Author's Affiliation | Zhejiang University(Zhejiang Univ.) |
5th Author's Name | Fang Wang |
5th Author's Affiliation | Zhejiang University(Zhejiang Univ.) |
6th Author's Name | Tomoko Tateyama |
6th Author's Affiliation | Fujita Health University(Fujita Health Univ.) |
7th Author's Name | Lanfen Lin |
7th Author's Affiliation | Zhejiang University(Zhejiang Univ.) |
8th Author's Name | Yenwei Chen |
8th Author's Affiliation | RITSUMEIKAN University(RITSUMEIKAN Univ.) |
Date | 2022-12-03 |
Paper # | MBE2022-22,NC2022-44 |
Volume (vol) | vol.122 |
Number (no) | MBE-291,NC-292 |
Page | pp.pp.7-10(MBE), pp.7-10(NC), |
#Pages | 4 |
Date of Issue | 2022-11-26 (MBE, NC) |