S <sup>2</sup> Net: Self‐adaptive weighted fusion and self‐adaptive aligned network for multi‐modal MRI segmentation
Experimental results demonstrate that S<sup>2</sup>Net exhibits superior segmentation performance in multimodal MRI segmentation compared to MedNeXt, FFNet, and ACMINet.
Authors
- Dong Ming (ORCID: https://orcid.org/0000-0002-8192-2538)
- Xingwei An (ORCID: https://orcid.org/0000-0002-5417-508X)
- Chengzhi Gui (ORCID: https://orcid.org/0009-0005-7117-0036)
- Shuang Liu (ORCID: https://orcid.org/0000-0002-4372-8443)
Institutions
- Tianjin University (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-03-16
- DOI
- https://doi.org/10.1002/mp.17742
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China