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

Research output: Contribution to journalLetterpeer-review

4 Scopus citations
Original languageEnglish
Pages (from-to)433-435
Number of pages3
JournalJournal of Stroke
Issue number3
StatePublished - 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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