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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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
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
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)