Early assessment of myocardial injury in patients with coronavirus disease 2019 using a two-stage deep learning framework based on non-contrast chest computed tomography
DL could determine the status of MI in non-contrast chest CT images of patients with COVID-19, providing one-stop convenience for early screening of MI.
Authors
- Song Su (ORCID: https://orcid.org/0000-0001-9119-4995)
- Yong Tang (ORCID: https://orcid.org/0000-0002-8199-3985)
- M D Li
- Jiayi Qiao
- Jian Shu (ORCID: https://orcid.org/0000-0002-7386-7217)
- Yanling Leng
- Zhitao Cheng
- Jing Chen
- Liuting Lu
- Bingyao Liu
- Mingsong Tang
- Li Wang
Institutions
- University of Electronic Science and Technology of China (CN)
- Affiliated Hospital of Southwest Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-12-31
- DOI
- https://doi.org/10.21037/qims-2025-449
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00