A dual-branch network for lesion segmentation in medical images using state space models
The proposed model integrates SSMs and deep convolutional networks to improve lesion segmentation by effectively capturing both local and global features. It offers new insights for medical image segmentation with potential clinical applications.
Authors
- Byung‐Won Min
- Haifei Zhang (ORCID: https://orcid.org/0000-0001-5142-5824)
- Hao Chen (ORCID: https://orcid.org/0000-0002-8400-3780)
Institutions
- Mokwon University (KR)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-11-21
- DOI
- https://doi.org/10.21037/qims-2025-576
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00