Deep learning‐based lung volume estimation with dynamic chest radiography
The proposed deep learning-based approach for lung volume estimation from DCR images outperformed the conventional linear regression method. Further improvements in CNN model architecture and the incorporation of guided forced respiratory maneuvers may enhance the potential for image-based pulmonary function testing.
Authors
- Rie Tanaka (ORCID: https://orcid.org/0000-0002-9476-5287)
- Nozomi Ishihara
- Haruto Kikuno
- Noriyuki Ohkura
- Isao Matsumoto
Institutions
- Kanazawa University (JP)
- Kanazawa Medical University (JP)
- Kanazawa University Hospital (JP)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1002/acm2.70487
- Primary Topic
- Atomic and Subatomic Physics Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00