Classifying abnormalities in chest radiographs from Vietnam using deep learning for early detection of cardiopulmonary diseases
We developed an AI system that classifies normal and abnormal chest radiographs with high clinical accuracy using Vietnamese data.
Authors
- Chiharu Kai
- Phan Thanh Hai
- Naoki Kodama (ORCID: https://orcid.org/0000-0001-9648-5193)
- Hideaki Tamori
- Satoshi Kasai
- Satoshi Kondo (ORCID: https://orcid.org/0000-0002-4941-4920)
- Thai Van Loc
- Akifumi Yoshida (ORCID: https://orcid.org/0000-0001-8488-5384)
- N. Van Cong
- Rei Teramoto
- Dinh Minh Tuan
Institutions
- Fujita Health University (JP)
- Muroran Institute of Technology (JP)
- Anova Corp (Vietnam) (VN)
- University Medical Center HCMC (VN)
- Asahi Shimbun Company (Japan) (JP)
- Niigata University of Health and Welfare (JP)
Publication Details
- Journal
- Frontiers in Radiology
- Published
- 2025-11-20
- DOI
- https://doi.org/10.3389/fradi.2025.1703927
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00