Automated evaluation of pulmonary lesion changes on chest radiograph during follow-up using semantic segmentation
It could potentially be utilized for prioritizing interpretation, generating alerts, and extracting time-series data from multiple follow-up CRs.
Authors
- Jong-Man Won (ORCID: https://orcid.org/0000-0001-8444-1046)
- Yura Ahn (ORCID: https://orcid.org/0000-0002-9188-1186)
- Han Na Noh (ORCID: https://orcid.org/0000-0001-6887-7878)
- Y.H. Kim (ORCID: https://orcid.org/0009-0003-3770-3199)
- Hyunna Lee (ORCID: https://orcid.org/0000-0003-1669-3086)
- Sang Min Lee (ORCID: https://orcid.org/0000-0001-7627-2000)
- Chaewon Kim (ORCID: https://orcid.org/0000-0002-5849-490X)
Institutions
- Asan Medical Center (KR)
- University of Ulsan (KR)
Publication Details
- Journal
- Diagnostic and Interventional Radiology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.4274/dir.2025.253567
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Korea Medical Device Development Fund
- Ministry of Trade, Industry and Energy
- Ministry of Food and Drug Safety
- Ministry of Science and ICT, South Korea