Application of improved Unet network in the recognition and segmentation of lung CT images in patients with pneumoconiosis
The improved Unet network proposed shows good performance in the recognition and segmentation of abnormal regions in lung CT images in patients with pneumoconiosis, showing potential application value for assisting clinical decision-making.
Authors
- Dongsheng Wu
- Zhengsong Zhou
- Hongbo Ji
- Xuanhan Xu
- Xin Li (ORCID: https://orcid.org/0000-0001-6755-9907)
- Tao Zhang (ORCID: https://orcid.org/0000-0001-7279-8929)
- Hongjun Chen (ORCID: https://orcid.org/0000-0001-6926-6403)
- Zongqi Chang
- Keda Wu
- Mingkun Kao
- Yangyang Song
Institutions
- Chengdu Medical College (CN)
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Chengdu Jincheng College
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1186/s12880-024-01377-3
- Citations
- 10
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.04
Funders
- Department of Science and Technology of Sichuan Province
- National Key Research and Development Program of China