PMFF-Net: A deep learning-based image classification model for UIP, NSIP, and OP
This study found that the PMFF-Net model can effectively classify UIP, NSIP, OP imaging types, and normal imaging, which can help doctors of different hospital levels and departments make clinical decisions quickly and effectively.
Authors
- Chuntao Li (ORCID: https://orcid.org/0000-0002-1837-0224)
- Huiyun Yang
- Xiao Wang (ORCID: https://orcid.org/0000-0003-1390-9152)
- Zhiwu Liao (ORCID: https://orcid.org/0000-0002-0737-7148)
- Jianqing Zhang (ORCID: https://orcid.org/0000-0002-5822-2218)
- Mingwei Xu (ORCID: https://orcid.org/0000-0002-3385-9845)
- Zhenghua Zhang
Institutions
- Yunnan University (CN)
- Kunming Medical University (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110618
- Citations
- 2
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 3.04