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

Authors:
Heo J; Seog Y; Lee H; Lee IH; Kim S and 18 more

Journal:
J Stroke

Publication Year: 2022

DOI:
10.5853/jos.2022.02054

PMCID:
PMC9561224

PMID:
36221949

Journal Information

Full Title: J Stroke

Abbreviation: J Stroke

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Clinical Neurology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Evidence found in paper:

"aria is publicly available as an open-sourced project and can be installed in all major operating systems ( https://github com/jnheo-md/aria )."

Evidence found in paper:

"Disclosure: The authors have no financial conflicts of interest."

Evidence found in paper:

"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)."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025