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

Research output: Contribution to journalLetterpeer-review

9 Scopus citations
Original languageEnglish
Pages (from-to)433-435
Number of pages3
JournalJournal of Stroke
Volume24
Issue number3
DOIs
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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