Early identification of abnormal pulmonary infectious diseases using unsupervised anomaly detection
This work offers a robust solution for the early identification of both known and emerging APIDs. The developed LRAE showed remarkable performance in detecting abnormal PICT image sequences.
Authors
- Zhenlei Lyu (ORCID: https://orcid.org/0009-0001-3487-3745)
- Yanan Zhu (ORCID: https://orcid.org/0000-0003-1025-7929)
- Yinwei Zhan (ORCID: https://orcid.org/0000-0003-2899-9090)
- Yuefu Zhan (ORCID: https://orcid.org/0000-0002-9093-0599)
- Rong Liu (ORCID: https://orcid.org/0000-0001-6123-9152)
- Y. N. Gao
Institutions
- Guangdong University of Technology (CN)
- Longgang Central Hospital (CN)
- Shenzhen Third People’s Hospital (CN)
- Hainan Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-11-21
- DOI
- https://doi.org/10.21037/qims-2025-1285
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00