@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",
issn = "2287-6391",
publisher = "Korean Stroke Society",
number = "3",
}