Mamba-based brain tumor segmentation of incomplete multi-modal MR images
The proposed method allows to foster the learning of absent modality features, leading to a more comprehensive representation of multi-modal magnetic resonance (MR) images for tumor segmentation, mitigating the challenges associated with feature incompleteness due to absent modalities and enhancing the model's capability to navigate these complex situations.
Authors
- Daqiang Xu
- Xiao-Long Li
- Jianxin Jiang
- Haosen Wang
- Changyong Liu
Institutions
- Fudan University (CN)
- Taizhou Fourth People's Hospital (CN)
- Suzhou Municipal Hospital (CN)
- Zhongshan Hospital (CN)
- Wuyi University (CN)
- Nanjing Medical University (CN)
- Wuyi University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2026-01-21
- DOI
- https://doi.org/10.21037/qims-2025-1913
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00