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Automated Composition Analysis of Thrombus from Endovascular Treatment in Acute Ischemic Stroke Using Computer Vision

Authors
 JoonNyung Heo  ;  Young Seog  ;  Hyungwoo Lee  ;  Il Hyung Lee  ;  Sungeun Kim  ;  Jang-Hyun Baek  ;  Hyungjong Park  ;  Kwon-Duk Seo  ;  Gyu Sik Kim  ;  Han-Jin Cho  ;  Minyoul Baik  ;  Joonsang Yoo  ;  Jinkwon Kim  ;  Jun Lee  ;  Yoon-Kyung Chang  ;  Tae-Jin Song  ;  Jung Hwa Seo  ;  Seong Hwan Ahn  ;  Heow Won Lee  ;  Il Kwon  ;  Eunjeong Park  ;  Young Dae Kim  ;  Hyo Suk Nam 
Citation
 JOURNAL OF STROKE, Vol.24(3) : 433-435, 2022-09 
Journal Title
JOURNAL OF STROKE
ISSN
 2287-6391 
Issue Date
2022-09
Files in This Item:
T9992022622.pdf Download
DOI
10.5853/jos.2022.02054
Appears in Collections:
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kwon, Il(권일) ORCID logo https://orcid.org/0000-0001-9449-5646
Kim, Young Dae(김영대) ORCID logo https://orcid.org/0000-0001-5750-2616
Kim, Jinkwon(김진권) ORCID logo https://orcid.org/0000-0003-0156-9736
Nam, Hyo Suk(남효석) ORCID logo https://orcid.org/0000-0002-4415-3995
Baik, Minyoul(백민렬)
Yoo, Joon Sang(유준상) ORCID logo https://orcid.org/0000-0003-1169-6798
Lee, Ilhyung(이일형)
Lee, Hyung Woo(이형우)
Heo, JoonNyung(허준녕)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/193393
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