Preliminary exploratory study on differential diagnosis between benign and malignant peripheral lung tumors: based on deep learning networks
The ResNet18-based deep learning model demonstrated superior accuracy in distinguishing between benign and malignant peripheral lung tumors, providing an effective and non-invasive tool for the early detection of lung cancer.
Authors
- Yuhui Yuan (ORCID: https://orcid.org/0000-0002-7109-6703)
- Tianyu She (ORCID: https://orcid.org/0000-0001-6189-1722)
- Hailing He
- Yong‐Xin Li (ORCID: https://orcid.org/0000-0003-4422-2302)
- Yutong Zhang (ORCID: https://orcid.org/0000-0003-4496-2896)
- Meiqing He
- Dong Xiang Zhang (ORCID: https://orcid.org/0000-0001-9350-3253)
- Jue Jiang (ORCID: https://orcid.org/0000-0001-7984-8802)
Institutions
- Shanxi Medical University (CN)
- Beijing Jiaotong University (CN)
- Second Affiliated Hospital of Xi'an Jiaotong University (CN)
- China XD Group (China) (CN)
- Tongji Hospital (CN)
- Shanxi Provincial People’s Hospital (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-03-27
- DOI
- https://doi.org/10.3389/fmed.2025.1567545
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00