Physiology based unsupervised learning for segmentation of COVID‐19 lesions in chest 3D CT scans
The proposed unsupervised segmentation method can automatically segment COVID-19 lesions accurately in chest 3D CT scans without requiring radiologists to provide any manual labels for training in the establishment process of the method.
Authors
- Shuqing Yang (ORCID: https://orcid.org/0000-0003-2924-3260)
- Cheng Wang (ORCID: https://orcid.org/0000-0003-2230-9386)
- Yao Zhang (ORCID: https://orcid.org/0000-0002-8305-4359)
- Zhiqiang Cai (ORCID: https://orcid.org/0000-0002-3586-4955)
Institutions
- Yangtze University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1002/mp.18049
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00