GC-WIR : 3D global coordinate attention wide inverted ResNet network for pulmonary nodules classification
Furthermore, experimental results unequivocally demonstrate that, even under stringent computational constraints, GC-WIR outperforms alternative deep learning methodologies, establishing a new benchmark in performance.
Authors
- Hong Yu (ORCID: https://orcid.org/0000-0002-0903-4464)
- Yinan Chen (ORCID: https://orcid.org/0000-0003-2852-0078)
- Shuya Yin
- Lin Zhu
- Fang Ye
- Wenju Wang
Institutions
- University of Shanghai for Science and Technology (CN)
- Shanghai Chest Hospital (CN)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1186/s12890-024-03272-7
- Citations
- 6
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.51
Funders
- Shanghai Municipal Health Commission
- National Natural Science Foundation of China
- University of Shanghai for Science and Technology
- Natural Science Foundation for Young Scientists of Shanxi Province
- Young Scientists Fund