MHAU-Net: a multi-scale hybrid attention U-shaped network for the segmentation of MRI breast tumors
Our results highlight the superior overall performance of the proposed method, and show its ability to adapt to various types of tumor images. This study establishes a solid foundation for further exploring the application value of deep learning in breast cancer diagnosis.
Authors
- L Liu
- Wei Kang (ORCID: https://orcid.org/0000-0003-4408-6419)
- Danke Su (ORCID: https://orcid.org/0000-0002-4792-8530)
- Xinzhe Luo (ORCID: https://orcid.org/0000-0003-2822-1633)
- J. Wei
- Min Xu (ORCID: https://orcid.org/0000-0001-9581-8849)
- Jiayu Yin
- Hai Liao (ORCID: https://orcid.org/0000-0003-4325-0280)
- Yixin Lu
- Wenxiang Shen
- Caiyun Huang (ORCID: https://orcid.org/0009-0009-3456-1053)
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-21
- DOI
- https://doi.org/10.21037/qims-24-1515
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48