MSA-Net: multiple self-attention mechanism for 3D lung nodule classification in CT images
These results have significant implications for enhancing the accuracy and reliability of lung nodule classification, providing robust auxiliary support for physicians diagnosing lung diseases.
Authors
- Lei Liang (ORCID: https://orcid.org/0000-0003-3294-2978)
- Jianming Zhu (ORCID: https://orcid.org/0000-0001-6987-3967)
- Yongbo Liang (ORCID: https://orcid.org/0000-0002-8337-6147)
- Jian Pan (ORCID: https://orcid.org/0000-0002-0292-5141)
- Peng Sun (ORCID: https://orcid.org/0000-0003-4715-5926)
- Zhencheng Chen (ORCID: https://orcid.org/0000-0003-1078-8455)
Institutions
- Guilin University of Electronic Technology (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1186/s12880-025-01725-x
- Citations
- 4
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.07
Funders
- National Natural Science Foundation of China