Performance of Computer‐Aided Detection Software in Tuberculosis Case Finding in Township Health Centers in China
CAD software could play a positive role in improving the TB case finding capability of township health centers.
Authors
- Lei Gao (ORCID: https://orcid.org/0000-0002-9957-4527)
- Dakuan Wang
- Jiang Du (ORCID: https://orcid.org/0000-0003-4014-1070)
- Zisen Liu (ORCID: https://orcid.org/0000-0002-8086-0929)
- Qi Jin (ORCID: https://orcid.org/0000-0003-3307-3663)
- Tonglei Guo (ORCID: https://orcid.org/0000-0002-1751-0790)
- Bin Zhang (ORCID: https://orcid.org/0000-0002-6286-6227)
- Yijun He (ORCID: https://orcid.org/0000-0003-0453-1477)
- Henan Xin (ORCID: https://orcid.org/0009-0008-5008-0412)
- Boxuan Feng (ORCID: https://orcid.org/0009-0001-4031-6857)
- Xuefang Cao (ORCID: https://orcid.org/0000-0002-1633-4895)
- Jiaoxia Yan (ORCID: https://orcid.org/0009-0009-8186-3361)
- Shouguo Pan
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Henan Provincial Center for Disease Control and Prevention (CN)
Publication Details
- Journal
- Chronic Diseases and Translational Medicine
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1002/cdt3.70001
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science and Technology Major Project