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

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

doi:10.5853/jos.2022.02054

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

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 KwonEunjeong Park, Young Dae Kim, Hyo Suk Nam

Department of Neurology

Research output: Contribution to journal › Letter › peer-review

5 Scopus citations

Original language	English
Pages (from-to)	433-435
Number of pages	3
Journal	Journal of Stroke
Volume	24
Issue number	3
DOIs	https://doi.org/10.5853/jos.2022.02054
State	Published - 1 Sep 2022

Bibliographical note

Funding Information:
Received: June 22, 2022 Revised: August 7, 2022 Accepted: September 5, 2022 This research was supported by a grant of Patient-Centered Clinical Research Coordinating Center (PACEN) funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HC19C0028) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (grant number : 2022R1I1A1A01063439).

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10.5853/jos.2022.02054

Cite this

Heo, J., Seog, Y., Lee, H., Lee, I. H., Kim, S., Baek, J. H., Park, H., Seo, K. D., Kim, G. S., Cho, H. J., Baik, M., Yoo, J., Kim, J., Lee, J., Chang, Y. K., Song, T. J., Seo, J. H., Ahn, S. H., Lee, H. W., ... Nam, H. S. (2022). Automated Composition Analysis of Thrombus from Endovascular Treatment in Acute Ischemic Stroke Using Computer Vision. Journal of Stroke, 24(3), 433-435. https://doi.org/10.5853/jos.2022.02054

@article{685eeaddcf5c421ba8c89aa3b832bdc3,

title = "Automated Composition Analysis of Thrombus from Endovascular Treatment in Acute Ischemic Stroke Using Computer Vision",

author = "Joonnyung Heo and Young Seog and Hyungwoo Lee and Lee, {Il Hyung} and Sungeun Kim and Baek, {Jang Hyun} and Hyungjong Park and Seo, {Kwon Duk} and Kim, {Gyu Sik} and Cho, {Han Jin} and Minyoul Baik and Joonsang Yoo and Jinkwon Kim and Jun Lee and Chang, {Yoon Kyung} and Song, {Tae Jin} and Seo, {Jung Hwa} and Ahn, {Seong Hwan} and Lee, {Heow Won} and Il Kwon and Eunjeong Park and Kim, {Young Dae} and Nam, {Hyo Suk}",

note = "Funding Information: Received: June 22, 2022 Revised: August 7, 2022 Accepted: September 5, 2022 This research was supported by a grant of Patient-Centered Clinical Research Coordinating Center (PACEN) funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HC19C0028) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (grant number : 2022R1I1A1A01063439).",

year = "2022",

month = sep,

day = "1",

doi = "10.5853/jos.2022.02054",

language = "English",

volume = "24",

pages = "433--435",

journal = "Journal of Stroke",

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publisher = "Korean Stroke Society",

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Heo, J, Seog, Y, Lee, H, Lee, IH, Kim, S, Baek, JH, Park, H, Seo, KD, Kim, GS, Cho, HJ, Baik, M, Yoo, J, Kim, J, Lee, J, Chang, YK , Song, TJ, Seo, JH, Ahn, SH, Lee, HW, Kwon, I, Park, E, Kim, YD & Nam, HS 2022, 'Automated Composition Analysis of Thrombus from Endovascular Treatment in Acute Ischemic Stroke Using Computer Vision', Journal of Stroke, vol. 24, no. 3, pp. 433-435. https://doi.org/10.5853/jos.2022.02054

TY - JOUR

T1 - Automated Composition Analysis of Thrombus from Endovascular Treatment in Acute Ischemic Stroke Using Computer Vision

AU - Heo, Joonnyung

AU - Seog, Young

AU - Lee, Hyungwoo

AU - Lee, Il Hyung

AU - Kim, Sungeun

AU - Baek, Jang Hyun

AU - Park, Hyungjong

AU - Seo, Kwon Duk

AU - Kim, Gyu Sik

AU - Cho, Han Jin

AU - Baik, Minyoul

AU - Yoo, Joonsang

AU - Kim, Jinkwon

AU - Lee, Jun

AU - Chang, Yoon Kyung

AU - Song, Tae Jin

AU - Seo, Jung Hwa

AU - Ahn, Seong Hwan

AU - Lee, Heow Won

AU - Kwon, Il

AU - Park, Eunjeong

AU - Kim, Young Dae

AU - Nam, Hyo Suk

N1 - Funding Information: Received: June 22, 2022 Revised: August 7, 2022 Accepted: September 5, 2022 This research was supported by a grant of Patient-Centered Clinical Research Coordinating Center (PACEN) funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HC19C0028) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (grant number : 2022R1I1A1A01063439).

PY - 2022/9/1

Y1 - 2022/9/1

UR - http://www.scopus.com/inward/record.url?scp=85139451586&partnerID=8YFLogxK

U2 - 10.5853/jos.2022.02054

DO - 10.5853/jos.2022.02054

M3 - Letter

AN - SCOPUS:85139451586

SN - 2287-6391

VL - 24

SP - 433

EP - 435

JO - Journal of Stroke

JF - Journal of Stroke

IS - 3

ER -