DCEF-AVNet: multi-scale feature fusion and attention mechanism-guided brain tumor segmentation network
The integration of dynamic convolution, enhanced feature fusion, and axial attention mechanisms enables DCEF-AVNet to deliver superior segmentation accuracy and robustness. These results underscore its potential for advancing automated brain tumor segmentation and improving clinical decision-making.
Authors
- Chuanyun Wang (ORCID: https://orcid.org/0000-0002-6737-3472)
- Linlin Wang (ORCID: https://orcid.org/0000-0001-9619-2577)
- Tong Zhang (ORCID: https://orcid.org/0000-0001-6212-4891)
- Qian Gao (ORCID: https://orcid.org/0000-0001-7215-826X)
- Jing Shao (ORCID: https://orcid.org/0000-0002-2500-2366)
- Zhongyi Li
Institutions
- Shenyang Aerospace University (CN)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1117/1.jmi.12.2.024503
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.68